&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy&#x27;s Supply Chain Team is seeking a&lt;strong&gt; Supply Chain Data Scientist&lt;/strong&gt;&amp;nbsp;to join its growing &lt;strong&gt;Inventory Optimization&lt;/strong&gt; team in Boston, MA. Combining a background in Supply Chain with a deep understanding of optimization and data science, you will be a part of a team responsible for strategic planning and research initiatives centered around Chewy’s inventory strategy. Your optimization models will guide Chewy’s inventory placement strategy as we aim to improve customer experience though shorter transit times while reducing Chewy’s inventory holding costs and transportation spend. Moreover, you will develop Data Science solutions to support partners across Network Topology, Forecasting, Replenishment, and Operations to scale with the business’s growing needs. You will serve a subject matter expert, mentoring Data Scientists on the team to develop a world class data science organization.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop optimization models to establish an ideal inventory placement strategy at Chewy&lt;/li&gt;
&lt;li&gt;Create models to quantify item substitutability and interactions between inventory in Chewy’s catalog&lt;/li&gt;
&lt;li&gt;Partner with business users and other data scientists and engineers to build automated solutions at the intersection of inventory optimization, replenishment, topology, and operations&lt;/li&gt;
&lt;li&gt;Develop scenario management models to facilitate “what if” scenario planning&lt;/li&gt;
&lt;li&gt;Communicate your findings to senior leaders and executives throughout the company&lt;/li&gt;
&lt;li&gt;Identify and solves for gaps in inventory optimization and supply chain processes&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;3+ years’ experience designing optimization and machine learning solutions for large scale applications&lt;/li&gt;
&lt;li&gt;Ability to understand and apply advanced mathematics&lt;/li&gt;
&lt;li&gt;An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field&lt;/li&gt;
&lt;li&gt;Python or R mastery&lt;/li&gt;
&lt;li&gt;Extensive experience working with Linear Programming, Mixed Integer Linear Programming, and ML models&lt;/li&gt;
&lt;li&gt;Ability to translate complex data sets and research into simple business recommendations&lt;/li&gt;
&lt;li&gt;Ability to manage multiple projects&lt;/li&gt;
&lt;li&gt;Ability to work through infrastructure build out and coordinate with IT and BI business partners&lt;/li&gt;
&lt;li&gt;Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s use of those tools&lt;/li&gt;
&lt;li&gt;Experience mentoring both junior and experienced data scientists&lt;/li&gt;
&lt;li&gt;Position may require travel&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Supply chain experience&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus.&lt;/li&gt;
&lt;li&gt;Strong leadership skills and outgoing personality&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Data Scientist - Inventory Optimization

&lt;p&gt;KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit &lt;a href=&quot;http://www.kayak.com&quot; target=&quot;_blank&quot;&gt;www.KAYAK.com&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK&#x27;s portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we&#x27;re able to help people experience the world through dining and travel.&lt;/p&gt;
&lt;p&gt;&quot;Love numbers&quot; is one of KAYAK&#x27;s core cultural values, and being the leading travel search engine worldwide means that we have a lot of numbers and data. Our marketing data science team uses that data to better enable KAYAK to share our product with travelers around the globe. We want to enable everyone to be confident in travel planning.&lt;/p&gt;
&lt;p&gt;Our team&#x27;s projects can draw from the following skills: assembling data sources from square one, parsing and cleaning data, mining for insights, building and improving models, crafting and running experiments, communicating results and giving recommendations to partners outside our team, and driving business decisions or technical changes to our product.&lt;/p&gt;
&lt;p&gt;A sample of projects that our team at large works on include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Building predictive models used by our in-house bidding platform&lt;/li&gt;
&lt;li&gt;Building bidding / budgeting algorithms, and running experiments to analyze its impact&lt;/li&gt;
&lt;li&gt;Building reporting solutions to monitor performance metrics across marketing channels.&lt;/li&gt;
&lt;li&gt;Forecasting business KPIs, optimizing budget allocation across marketing channels&lt;/li&gt;
&lt;li&gt;Running experiments for impact and user journey analyses.&lt;/li&gt;
&lt;li&gt;On the cutting edge of marketing, we use NLP and image processing techniques to optimize ad creatives and landing pages.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;We are looking for a “full-stack” data scientist with an emphasis on data analysis to join our team. An ideal candidate will take full ownership of driving analysis driven projects to gain insights from data while bringing stakeholders on board with evidence-based reasoning and compelling storytelling. They will draw insights from data, bring statistical rigor, and partner with product managers and other data scientists on the team to build/ maintain and improve our existing data driven models.&lt;/p&gt;
&lt;p&gt;This position will be hybrid based in the Cambridge (US) office.&lt;/p&gt;
&lt;h3&gt;&lt;strong&gt;Please apply if: &lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Masters or higher degree in statistics, data science, computer science, economics or any other quantitative field&lt;/li&gt;
&lt;li&gt;Experience with hypothesis testing, experimental design, sample size calculations, statistics and ability to draw conclusions giving sophisticated treatment to real-life data uncertainties&lt;/li&gt;
&lt;li&gt;Extensive experience with data manipulation, extraction using relational and/or NoSQL databases&lt;/li&gt;
&lt;li&gt;Ability to write scalable, maintainable code (we use Python) for drawing inference from data&lt;/li&gt;
&lt;li&gt;A storyteller&#x27;s approach to analysis: not satisfied with only &quot;what&quot;, but &quot;why?&quot;, &quot;how?&quot;, and &quot;what next?&quot;&lt;/li&gt;
&lt;li&gt;Desire to make business impact, loves problem solving and develops creative, tailored approaches&lt;/li&gt;
&lt;li&gt;Great communication skills- capable of bridging business and technology&lt;/li&gt;
&lt;li&gt;2+ years of industry experience in a related role&lt;/li&gt;
&lt;li&gt;Natural Language Processing / Natural Language Understanding experience is a plus&lt;/li&gt;
&lt;li&gt;Online advertising / E-commerce / marketing domain experience is a plus&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;Benefits and Perks&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;4 weeks paid vacation&lt;/li&gt;
&lt;li&gt;Ability to work from almost anywhere&lt;/li&gt;
&lt;li&gt;Day off on your birthday&lt;/li&gt;
&lt;li&gt;Generous retirement plans&lt;/li&gt;
&lt;li&gt;Awesome health, dental and vision insurance plans&lt;/li&gt;
&lt;li&gt;Flexible Spending Accounts&lt;/li&gt;
&lt;li&gt;Headspace Subscription&lt;/li&gt;
&lt;li&gt;No Meeting Fridays&lt;/li&gt;
&lt;li&gt;Drinks, coffee, snacks, games etc.&lt;/li&gt;
&lt;li&gt;Weekly catered lunches&lt;/li&gt;
&lt;li&gt;Flexible hours&lt;/li&gt;
&lt;li&gt;Regular team events/excursions&lt;/li&gt;
&lt;li&gt;Universal Paid Parental leave&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;Diversity and Inclusion&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.&lt;/p&gt;
&lt;p&gt;We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;#LI - BB1&lt;/p&gt;

Data Scientist

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is looking for a&amp;nbsp;&lt;strong&gt;Senior&amp;nbsp;Data Scientist &lt;/strong&gt;for our Fulfillment &amp;amp; Logistics org in &lt;strong&gt;Boston/Minneapolis/Dania Beach.&lt;/strong&gt; We are looking for high caliber Data Scientist to join our growing Data Science. You&#x27;ll bring experience spanning Machine learning, Advanced Statistical Techniques, Data Science, Software Engineering and leadership skills. This role offers a great opportunity for professional growth with the leading online pet retailer in the US.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Work collaboratively with Engineering and Product teams to deliver technologies that improve Chewy’s fulfillment and Logistics operations.&lt;/li&gt;
&lt;li&gt;Plan, manage and execute on data science projects independently, albeit drawing upon the input and expertise from multiple stakeholders&lt;/li&gt;
&lt;li&gt;Drive continuous improvements to the assets that are delivered, bringing in best of new advances in the space&lt;/li&gt;
&lt;li&gt;Understand and manage technical and operational aspects of running machine learning systems at scale.&lt;/li&gt;
&lt;li&gt;Drive development of data science practices across Chewy teams. Push adoption of emerging and relevant approaches to solve Supply Chain Optimization problems.&lt;/li&gt;
&lt;li&gt;Establish strong working relationships at all organizational levels across different functional teams. You may work with multiple teams and systems across Fulfillment, Supply Chain, and Business Intelligence.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;MS or PhD in field (Computer Science, Mathematics, - Machine Learning, AI, Statistics, or equivalent).&lt;/li&gt;
&lt;li&gt;5+ years of experience working in data science or applied machine learning.&lt;/li&gt;
&lt;li&gt;Deep understanding of regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning.&lt;/li&gt;
&lt;li&gt;Demonstrated experience of translating ambiguous customer requirements into clear problem definitions and delivering them.&lt;/li&gt;
&lt;li&gt;Track record dealing with complex and ambiguous problems that drive business value.&lt;/li&gt;
&lt;li&gt;Good programming practices, ability to write readable, fast code.&lt;/li&gt;
&lt;li&gt;Excellent verbal and written communication skills. Able to explain details of complex concepts to non-expert stakeholders in simple understandable way.&lt;/li&gt;
&lt;li&gt;Working knowledge of AWS data toolset (Glue, Athena, Sagemaker etc).&lt;/li&gt;
&lt;li&gt;Experience in hiring and developing junior members.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Position may require some travel.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience in a fulfillment or logistics or e-commerce environment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact&amp;nbsp;&lt;a href=&quot;mailto:HR@Chewy.com&quot;&gt;HR@Chewy.com&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;Chewy Privacy Policy&lt;/a&gt;&amp;nbsp;(&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Senior Data Scientist, Fulfillment and Logistics

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;iframe src=&quot;//player.vimeo.com/video/683025251?title=0&amp;amp;byline=0&amp;amp;portrait=0&amp;amp;color=8dc7dc&quot; width=&quot;500&quot; height=&quot;412&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;We’re united by a mission: to make the world a safer place. Corvus Insurance uses novel data and artificial intelligence/machine learning to achieve better insights into commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex claims through data-driven tools and Smart Commercial Insurance® policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings, and soar with us.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;Corvus is reimagining commercial insurance with data science and machine learning playing a critical role. Data Scientists at Corvus are a key component of our mission to find and use alternative sources of data that can help our clients mitigate risk and make the world a safer place.&lt;/p&gt;
&lt;p&gt;We’re looking for a full-stack data scientist who isn’t intimidated by the prospect of working with large, messy data sets. You’ll play a critical role in defining how data science can solve business problems, and will be responsible for the full data science life cycle, including defining the problem, prototyping data pipelines and building and implementing data science and machine learning products into client facing systems. Reporting to the Director of Data Science, this is a new and highly visible role in which you’ll work closely with Product Managers, Software Engineers, and Underwriters to expand the reach and impact of our data products.&lt;/p&gt;
&lt;h4&gt;Responsibilities&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;Apply quantitative methods to solve complex data problems involving cyber risk scoring, emerging risk detection, etc…&lt;/li&gt;
&lt;li&gt;Translate product ideas into data science problems, and solve them&lt;/li&gt;
&lt;li&gt;Prototype tools and data pipelines to extract meaningful insight from innovative sources of data&lt;/li&gt;
&lt;li&gt;Clearly communicate analysis and train stakeholders to use our data products&lt;/li&gt;
&lt;li&gt;Work close with engineers to deploy and monitor Data Science Products&lt;/li&gt;
&lt;li&gt;Teach and mentor other Corvids to further our data driven culture&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;Qualifications&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;6+ years of experience as a Data Scientist&lt;/li&gt;
&lt;li&gt;Deep expertise in machine learning and statistical modeling&lt;/li&gt;
&lt;li&gt;Proven track record of rapid prototyping and development leveraging open source frameworks&lt;/li&gt;
&lt;li&gt;Experience with Python, R or other similar scripting languages&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Our Commitment&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;Corvus provides a seriously safe nest for people who come from all paths. Our flock represents a variety of backgrounds, perspectives, and skills. Although confidence can sometimes hold us back from applying for a job, we believe there&#x27;s no such thing as a &#x27;perfect&#x27; candidate.&amp;nbsp; Corvus is a place where everyone can soar. So however you identify and whatever background you bring, please apply if this is a role that would make you excited to come into work every day.&amp;nbsp; And please check out what it&#x27;s like to be a Corvid and our amazing benefits: &lt;a href=&quot;https://www.corvusinsurance.com/life-at-corvus&quot; target=&quot;_blank&quot;&gt;https://www.corvusinsurance.com/life-at-corvus&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Corvus is committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or an accommodation with our hiring process due to a disability, contact us at careers@corvusinsurance.com.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Disclaimer: Bird puns are highly encouraged!&lt;/p&gt;&lt;/div&gt;

Principal Data Scientist

&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Tomorrow.io’s Research and Development Team is a mixture of scientists and engineers committed to generating the world&#x27;s most valuable weather data, models, and predictions. To serve this purpose, we use a broad variety of approaches and algorithms, from typical Numerical Weather Prediction to Machine Learning modeling. The 1-Forecast (1F) team is our ML team within R&amp;amp;D that focuses on generating data-driven predictions. The 1F team is composed of data scientists and atmospheric scientists who work closely to blend subject matter expertise and state-of-the-science machine learning algorithms and methodologies to make weather and weather related-predictions (e.g., drought, power outages, air quality, etc.).&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We’re looking for an experienced&lt;strong&gt; Data Science Team Lead&lt;/strong&gt;&amp;nbsp;with experience working with large high dimensional geospatial time series data, deep learning, building out MLOps, Amazon SageMaker, writing winning proposals, ML hype management, and experience and/or interest in atmospheric science. Tomorrow.io is committed to delivering value to our customers and we know that approaching these problems with new perspectives is a part of achieving this goal. If solving challenging problems and working at the intersection of physical and data-driven models sounds fun to you, we encourage you to apply. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;As a &lt;strong&gt;Data Science Team Lead&lt;/strong&gt;&lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;, You’ll:&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Lead all the aspects of the Data Science Team&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Set the standard operating procedures for our data science team&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Work closely with product managers and leadership to design product requirements, set priorities, and balance competing priorities.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Leverage distributed computing (e.g. Dask, Apache Beam, etc.) to build and maintain data pipelines that move, transform, and engineer features from terabytes of weather data&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Develop data-driven models to predict weather and weather-related events at various timescales and spatiotemporal resolution&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Collaborate with scientists across the organization to help realize the full value of machine learning&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What you bring:&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;A strong desire to leverage machine learning to drive innovation in the weather/climate prediction space&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Extensive experience generating and evaluating statistically reliable probabilistic models using machine learning&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;The capability to guide and support the 1F team as needed in data science and engineering and MLOps&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;3+ years of experience with modern machine learning algorithms, workflows, and best practices&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;3+ years of experience with TensorFlow or PyTorch&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Strong communication skills, including presenting and distilling complex topics and findings to diverse stakeholders (non-data scientists)&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;A growth mindset and the willingness to use new tools and challenge existing approaches&lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&lt;br&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.&lt;/span&gt;&lt;/em&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&lt;br&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Tomorrow.io is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.&lt;/span&gt;&lt;/em&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&lt;br&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;___________________________________________________________________________________________&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About tomorrow.io:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;http://tomorrow.io/&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Tomorrow.io&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; is &lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;helping Countries, Businesses and Individuals better manage their Climate Security Challenges. &lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Fully customizable to any industry impacted by the weather, customers around the world including Uber, Delta, Ford, National Grid and more use &lt;/span&gt;&lt;a href=&quot;http://tomorrow.io/&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Tomorrow.io&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; to dramatically improve operational efficiency. &lt;/span&gt;&lt;a href=&quot;http://tomorrow.io/&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Tomorrow.io&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; was built from the ground up to help teams predict the business impact of weather, streamline team communication and action plans, improve productivity, and optimize profit margins.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Space:&lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; In case you have not heard, we are also going to space with our Operation Tomorrow Space initiative. We are building the first-of-its-kind proprietary satellites equipped with radar, and launching them into space to improve weather forecasting technology for everyone on Earth.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;How we roll: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;

Data Science Team Lead

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is looking for a&amp;nbsp;&lt;strong&gt;Senior&amp;nbsp;Data Scientist &lt;/strong&gt;for our Fulfillment &amp;amp; Logistics org in Seattle/Boston/Minneapolis/Dania Beach. We are looking for high caliber Data Scientist to join our growing Data Science. You&#x27;ll bring experience spanning Machine learning, Advanced Statistical Techniques, Data Science, Software Engineering and leadership skills. This role offers a great opportunity for professional growth with the leading online pet retailer in the US.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Work collaboratively with Engineering and Product teams to deliver technologies that improve Chewy’s fulfillment and Logistics operations.&lt;/li&gt;
&lt;li&gt;Plan, manage and execute on data science projects independently, albeit drawing upon the input and expertise from multiple stakeholders&lt;/li&gt;
&lt;li&gt;Drive continuous improvements to the assets that are delivered, bringing in best of new advances in the space&lt;/li&gt;
&lt;li&gt;Understand and manage technical and operational aspects of running machine learning systems at scale.&lt;/li&gt;
&lt;li&gt;Drive development of data science practices across Chewy teams. Push adoption of emerging and relevant approaches to solve Supply Chain Optimization problems.&lt;/li&gt;
&lt;li&gt;Establish strong working relationships at all organizational levels across different functional teams. You may work with multiple teams and systems across Fulfillment, Supply Chain, and Business Intelligence.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;MS or PhD in field (Computer Science, Mathematics, - Machine Learning, AI, Statistics, or equivalent).&lt;/li&gt;
&lt;li&gt;5+ years of experience working in data science or applied machine learning.&lt;/li&gt;
&lt;li&gt;Deep understanding of regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning.&lt;/li&gt;
&lt;li&gt;Demonstrated experience of translating ambiguous customer requirements into clear problem definitions and delivering them.&lt;/li&gt;
&lt;li&gt;Track record dealing with complex and ambiguous problems that drive business value.&lt;/li&gt;
&lt;li&gt;Good programming practices, ability to write readable, fast code.&lt;/li&gt;
&lt;li&gt;Excellent verbal and written communication skills. Able to explain details of complex concepts to non-expert stakeholders in simple understandable way.&lt;/li&gt;
&lt;li&gt;Working knowledge of AWS data toolset (Glue, Athena, Sagemaker etc).&lt;/li&gt;
&lt;li&gt;Experience in hiring and developing junior members.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Position may require some travel.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience in a fulfillment or logistics or e-commerce environment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact&amp;nbsp;&lt;a href=&quot;mailto:HR@Chewy.com&quot;&gt;HR@Chewy.com&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;Chewy Privacy Policy&lt;/a&gt;&amp;nbsp;(&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

 Senior Data Scientist, IT Fulfillment and Logistics

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is growing at a rapid pace. Our approach of thinking about our customers first and ability to move fast has created an opportunity to rethink and redesign our supply chain optimization frameworks from ground up. If the opportunity to create a best in class supply chain network, make a large business impact, and deliver large scale savings intrigue you, we will want to talk to you.&lt;/p&gt;
&lt;p&gt;Chewy&#x27;s Supply Chain Research and Planning Team is seeking an&lt;strong&gt; Associate Director, Data Scientist &lt;/strong&gt;to join the growing Supply Chain Replenishment Science team. Combining a background in Supply Chain with a deep understanding of data science, you will be a part of a team driving the strategic planning and research initiatives for replenishment optimization. This includes identifying the right inputs to optimize our procurement strategies,&amp;nbsp;and developing the various input models from ground up. Chewy’s Supply Chain team operates in a fast-paced environment where every day brings new challenges and new opportunities. You will be responsible for designing and implementing solutions and technologies which will handle the growing business needs and play a key role in redefining what it means to be a world-class Operations Research organization.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop and implement models and algorithms to solve complex supply chain problems using operations research, statistics, and machine learning technologies&lt;/li&gt;
&lt;li&gt;Deep dive large supply chain data to explain change, develop insights, and provide recommendations&lt;/li&gt;
&lt;li&gt;Partner with Supply Chain’s functional areas (with Demand Planning, S&amp;amp;OP, Transportation, and Supply Planning) to develop to optimize our Supply Chain across the board&lt;/li&gt;
&lt;li&gt;Implement process improvement initiatives that drive improvements to the metrics and streamline the Supply Chain&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field&lt;/li&gt;
&lt;li&gt;5+ years of hands-on experience in developing and deploying optimization, predictive and machine learning models&lt;/li&gt;
&lt;li&gt;Practical experience in inventory optimization highly preferred&lt;/li&gt;
&lt;li&gt;3+ years of experience in leading and managing operations research, data science or advanced analytics teams&lt;/li&gt;
&lt;li&gt;SQL, R or Python mastery&lt;/li&gt;
&lt;li&gt;Ability to use collaborative programming tools (Git, Confluence, etc.)&lt;/li&gt;
&lt;li&gt;Ability to translate complex data sets and research into simple business recommendations&lt;/li&gt;
&lt;li&gt;Ability to manage multiple projects and prioritize competing requirements&lt;/li&gt;
&lt;li&gt;Experience in leading and mentoring team of scientists&lt;/li&gt;
&lt;li&gt;Position may require travel&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong leadership and communication skills&lt;/li&gt;
&lt;li&gt;Ability to effectively operate both independently and as part of a team&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Associate Director, Data Scientist

&lt;p&gt;&lt;strong&gt;Our Opportunity&lt;/strong&gt;:&lt;/p&gt;
&lt;p&gt;Chewy is looking for a&amp;nbsp;&lt;strong&gt;Data Scientist&lt;/strong&gt; or &lt;strong&gt;Machine Learning Scientist&lt;/strong&gt;&amp;nbsp;with a background in econometric modelling to join the Autoship Data Science team at Chewy. The team uses Business Economics, Statistics, and Machine Learning techniques to understand and serve the needs of our pet-parents. Developing data-driven customer solutions, we are an interdisciplinary team of analysts, who are committed to solving business problems using cutting edge technologies.&lt;/p&gt;
&lt;p&gt;As part of the growing Autoship Data Science team, you will have ample opportunities to provide structures to numerous business problems for all things marketing and existing Chewy customers. The problems will range across various&amp;nbsp;stages of the customer lifecycle (acquisition, growth, management, and retention) and marketing levers (product, pricing, promotions, placement, and convenience). With direct exposure to the cross-functional stakeholders, you will have a unique opportunity to formulate analytical solutions for these problems from scratch and develop customer-centric products for efficiency using experimentation, data science and analytics. For such efforts, you will closely work with the data science, analytics, product, and data engineering teams focused on Autoship business functions. &amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You will be responsible for the full Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models. In addition, you will periodically develop the model health reports to ensure the integrity of the underlying processes and assumptions. Using the ML model outputs, you will work with a team of strategic analysts and engineers to triangulate different inputs and optimize the solutions for different business problems&lt;/li&gt;
&lt;li&gt;Focusing on the incrementality and the value-creation in everything you do, you will closely work with the stakeholders within marketing. You will transform their ideas, preliminary findings, or analyses, whenever applicable, into set of features to guide your machine models&amp;nbsp;&lt;/li&gt;
&lt;li&gt;For such transformations, you will guide the teams with the design of experiments, measurement, analyses, recommendations, or all. With partnership from Analytics, you will be responsible for making recommendations for experimentation and measurement by researching state-of-art methods, examining, and tuning the current methods with simulations. Also, you will use causal inference methods to bring precision and speed in the decision-making process&lt;/li&gt;
&lt;li&gt;You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings. It will include developing data-science driven customer segmentation (Lifecycle Segments, Value Segments, Likelihood Models etc.)&lt;/li&gt;
&lt;li&gt;You will work with the data engineering teams to develop the automated pipelines to perform different stages of the model life cycle&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;What You&#x27;ll Need:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Bachelors’ degree with 5+ years, Master&#x27;s degree with 3+ years or PhD with 2+ years of relevant experience in Machine Learning, Data Science, Economics, Statistics, Mathematics, Engineering, or related discipline&lt;/li&gt;
&lt;li&gt;Demonstrated practical knowledge and hands-on experience in the areas of machine learning, deep learning, experimentation, especially track record of developing propensity, uplift/causal inference, product recommendation models, managing the model life cycle and partnering with the ML engineering and product teams to scale the efforts.&lt;/li&gt;
&lt;li&gt;Coding ability in a scripting language such as Python, R, Matlab, SQL, SAS or STATA&lt;/li&gt;
&lt;li&gt;Working knowledge of AWS data toolset (Glue, Athena, Sagemaker, Redshift, etc.)&lt;/li&gt;
&lt;li&gt;Experience of translating complex business problems into its MECE components and prioritizing different components on their values and impacts&lt;/li&gt;
&lt;li&gt;Excellent verbal and written communication skills. Able to explain details of complex concepts to non-expert stakeholders in a simple understandable way&lt;/li&gt;
&lt;li&gt;Preferably experience of working in subscription-based model, attribution, A/B testing optimization and CRM data science&lt;/li&gt;
&lt;li&gt;Preferably experience of working in the e-commerce industry&lt;/li&gt;
&lt;li&gt;You enjoy working in a team of highly engaged individuals, and you have a passion for data science and KPIs, but also for delivering analysis of the highest quality&lt;/li&gt;
&lt;li&gt;Proven experience in identifying opportunities for business improvement and defining and measuring the success of those initiatives&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;#LI-RK1&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Data Scientist III, Autoship

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;strong&gt;Why Glassdoor?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Our mission is to help people everywhere find a job and company they love. In the process, we’re transforming the workplace experience through the power of transparency and further cementing ourselves as the worldwide leader in employer branding and insights. By choosing a career at Glassdoor, you’ll be directly contributing toward our vision&amp;nbsp; for a world where transparency empowers the workforce and motivates companies to become better employers.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Please note: This role may be open to remote hiring. Our office locations are in San Francisco, CA; Chicago, IL; Uniontown, OH; London, UK; and Dublin, Ireland.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;strong&gt;About the Role&lt;/strong&gt;&lt;/div&gt;
&lt;div&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;This role will directly support &lt;/span&gt;&lt;a href=&quot;http://www.fishbowlapp.com&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Fishbowl by Glassdoor&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;, a social network for professionals to connect over candid conversations about anything career, industry and workplace-related. Glassdoor completed its acquisition of Fishbowl in late 2021.&lt;/span&gt;&lt;/div&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Do&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Work with product managers, engineers, and fellow scientists to develop elegant and scalable machine learning solutions for a wide variety of Fishbowl business use cases.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Perform data analysis, cleaning, sampling, and feature engineering.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Perform model training, evaluation, and hyperparameter tuning.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Deploy and maintain models in production.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Write clean, maintainable, and well-documented code.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Stay up to date with machine learning research and state-of-the-art solutions to common machine learning problems.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Bring&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;MS or PhD in Machine Learning, Computer Science, or related field.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;5+ years of industry experience with applied machine learning in production.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Comprehensive knowledge of machine learning concepts, including classification, regression, and unsupervised learning.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Hands-on experience with traditional machine learning as well as deep learning algorithms.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proficiency with Python programming, including numeric, data analysis, and machine learning libraries such as NumPy, pandas, scikit-learn, and PyTorch.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proficiency in Natural Language Processing, including state-of-the-art language models such as BERT and GPT.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Deep understanding of statistical and mathematical methods used in machine learning, evaluation, and hypothesis testing.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proficiency with SQL for data analysis.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proficiency with deploying models via frameworks such as MLFLow or cloud platforms such as AWS SageMaker.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Excellent written and verbal communication skills.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;A commitment to add&amp;nbsp; to &lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/diversity-equity-inclusion-transparency-report-2021/&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;our culture&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; of DEI&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;Compensation and Benefits&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Base Salary Range*: &lt;/strong&gt;&lt;strong&gt;&amp;nbsp;$176,000.00 - $264,000.00&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;*Glassdoor base salaries are targeted to the market 75th percentile for technical roles and the 65th percentile for non-technical roles. In other words, 65-75% of comparable organizations in our industry will pay less.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Annual Bonus Target**: 10%&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;**&lt;/strong&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Bonuses are paid in 6-month intervals, aligning with bi-annual performance reviews&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Generous Restricted Stock Units (RSU): 188,000.00 - 235,000.00&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;***Restricted Stock Units (RSU) are awarded at hire and may be refreshed annually. Additionally, as a pay-for-performance company, RSU grant awards are presented bi-annually to exceptional performers.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;em&gt;You can learn more about our compensation philosophy &lt;/em&gt;&lt;/strong&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/pay-and-rewards-at-glassdoor/&quot;&gt;&lt;strong&gt;&lt;em&gt;here&lt;/em&gt;&lt;/strong&gt;&lt;/a&gt;&lt;strong&gt;&lt;em&gt; and see salary ranges for all Glassdoor jobs &lt;/em&gt;&lt;/strong&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/glassdoor-salary-ranges/&quot;&gt;&lt;strong&gt;&lt;em&gt;here&lt;/em&gt;&lt;/strong&gt;&lt;/a&gt;&lt;strong&gt;&lt;em&gt;.&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Health and Wellness: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability, select well-being programs, along with 80% employer-paid premiums for all dependents.* Generous paid time off programs for birthing and non-birthing parents are provided, along with paid injury/illness leave and paid family emergency leave.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;*Coverage begins at the start of employment. After 48 months of continuous employment, 100% of all premiums for you &lt;/span&gt;&lt;/em&gt;&lt;strong&gt;&lt;em&gt;and&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; your dependents can be employer-paid!&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Work/Life Balance:&lt;/strong&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;Open Paid Time Off policy, in addition to 15-20 paid company holidays/year&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Investing in Your Future:&lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; 401(k) plan with a company match up to $5,000 per year, subsidized&amp;nbsp; fertility and family planning services, and discounted legal assistance services.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Our Company Values and Commitments&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Transparency: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are open and honest. We share information – the good and the bad – so we can continuously learn, collaborate and make the right decisions.&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/glassdoor-salary-ranges/&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;Pay bands&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;,&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/pay-and-rewards-at-glassdoor/&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;our compensation philosophy,&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; and&lt;/span&gt;&lt;a href=&quot;https://b2b-assets.glassdoor.com/glassdoor-employee-engagement-survey-feb-2020.pdf&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;employee feedback survey&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; responses are shared publicly.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Innovation:&lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; We actively pursue new and different ways to further Glassdoor’s mission. We forge our own path by challenging the status quo. The ultimate goal is not just to change how we operate at Glassdoor, but for every employer to follow our lead!&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Good People: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We work together with integrity, respect and compassion for one another. We have fun together! We are inclusive, fair and humble while remaining confident. We do the right thing, period.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Grit: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are resilient, inventive and fearless. We see challenges as opportunities. With passion and courage, we come together to get the job done.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Diversity, Equity, and Inclusion: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are dedicated to building a company that is more diverse and representative of society at large. Glassdoor externally publishes our&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/diversity-equity-inclusion-transparency-report-2021/&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; Diversity &amp;amp; Inclusion report&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; and information about our employee population to hold ourselves accountable to our dedication. We also provide programs and resources to build a greater sense of belonging for our employees.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;a href=&quot;https://www.glassdoor.com/glassdoor&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Glassdoor&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;US &amp;amp; Ontario Only&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Where legally permitted, Glassdoor requires all employees who report to a workplace, or travel and/or attend in-person meetings, including client visits, to be fully vaccinated against COVID-19. For positions that can only be performed at a Glassdoor office, candidates must be fully vaccinated against COVID-19 and provide acceptable proof of vaccination&lt;/span&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;before their first day of employment as a condition of employment. Glassdoor will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19, two weeks should have elapsed since receiving the second dose (or any government recommended&lt;/span&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;booster shot) in a two-dose COVID-19 vaccine series, or since receiving a single dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;Our Company Values and Commitments&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Transparency: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are open and honest. We share information – the good and the bad – so we can continuously learn, collaborate and make the right decisions.&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/glassdoor-salary-ranges/&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;Pay bands&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;,&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/pay-and-rewards-at-glassdoor/&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;our compensation philosophy,&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; and&lt;/span&gt; &lt;a href=&quot;https://www.glassdoor.com/Polls/Glassdoor-Polls-E100431.htm&quot; target=&quot;_blank&quot;&gt;employee feedback polls&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&amp;nbsp;are shared publicly.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Innovation:&lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; We actively pursue new and different ways to further Glassdoor’s mission. We forge our own path by challenging the status quo. The ultimate goal is not just to change how we operate at Glassdoor, but for every employer to follow our lead!&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Good People: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We work together with integrity, respect and compassion for one another. We have fun together! We are inclusive, fair and humble while remaining confident. We do the right thing, period.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Grit: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are resilient, inventive and fearless. We see challenges as opportunities. With passion and courage, we come together to get the job done.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Diversity, Equity, and Inclusion: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are dedicated to building a company that is more diverse and representative of society at large. Glassdoor externally publishes our&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/diversity-equity-inclusion-transparency-report-2021/&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; Diversity &amp;amp; Inclusion report&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; and information about our employee population to hold ourselves accountable to our dedication. We also provide programs and resources to build a greater sense of belonging for our employees.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;a href=&quot;https://www.glassdoor.com/glassdoor&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Glassdoor&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;text-decoration: underline;&quot;&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;US &amp;amp; Ontario Only&lt;/span&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Where legally permitted, Glassdoor requires all employees who report to a workplace, or travel and/or attend in-person meetings, including client visits, to be fully vaccinated against COVID-19. For positions that can only be performed at a Glassdoor office, candidates must be fully vaccinated against COVID-19 and provide acceptable proof of vaccination&lt;/span&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;before their first day of employment as a condition of employment. Glassdoor will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19, two weeks should have elapsed since receiving the second dose (or any government recommended&lt;/span&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;booster shot) in a two-dose COVID-19 vaccine series, or since receiving a single dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;

Sr. Machine Learning Scientist (Fishbowl)

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;iframe src=&quot;//player.vimeo.com/video/683025251?title=0&amp;amp;byline=0&amp;amp;portrait=0&amp;amp;color=8dc7dc&quot; width=&quot;500&quot; height=&quot;412&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;We’re united by a mission: to make the world a safer place. Corvus Insurance uses novel data and artificial intelligence/machine learning to achieve better insights into commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex claims through data-driven tools and Smart Commercial Insurance® policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings, and soar with us.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;Looking for a company that embraces new technology, including machine learning? Corvus Insurance is looking for a talented Data Scientist to join our Data Science team. We are a dynamic team of entrepreneurial professionals with backgrounds in insurance and technology creating a commercial insurance company that combines the latest technology with traditional insurance. You will be instrumental in building systems that identify and analyze actionable data for our users to consume.&lt;/p&gt;
&lt;h4&gt;&lt;strong&gt;Responsibilities &lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;You will build Statistical and Machine Learning products to support new Smart Insurance products&lt;/li&gt;
&lt;li&gt;You will collaborate with other Data Scientists and Engineers to improve our existing risk assessment models&lt;/li&gt;
&lt;li&gt;You will identify, ingest and cleanse innovative sources of data to support existing products, including but not limited to cybersecurity data&lt;/li&gt;
&lt;li&gt;You will build Data Science and Machine Learning features into our customer facing software products&lt;/li&gt;
&lt;li&gt;You will work close with engineers to deploy and monitor Data Science Products&lt;/li&gt;
&lt;li&gt;You will present Data Science results and findings to internal stakeholders&lt;/li&gt;
&lt;li&gt;You will act as a technical resource and mentor for junior team members&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Qualifications&lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;4+ Years of experience as a Data Scientist or similar role&lt;/li&gt;
&lt;li&gt;Experience with Python, R or other similar scripting languages&lt;/li&gt;
&lt;li&gt;Expertise with SQL or other database querying language required&lt;/li&gt;
&lt;li&gt;Proven track record of rapid prototyping and development, leveraging open source or commercial frameworks (e.g., TensorFlow, Hadoop, AWS) is a plus&lt;/li&gt;
&lt;li&gt;Translate product ideas into well-posed data science challenges, and solve them&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;1926&quot;&gt;You are curious and able to adapt to different domains&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;1984&quot;&gt;Insurance industry experience nice to have&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;2030&quot;&gt;Experience with AWS stack a plus&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Our Commitment&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;Corvus provides a seriously safe nest for people who come from all paths. Our flock represents a variety of backgrounds, perspectives, and skills. Although confidence can sometimes hold us back from applying for a job, we believe there&#x27;s no such thing as a &#x27;perfect&#x27; candidate.&amp;nbsp; Corvus is a place where everyone can soar. So however you identify and whatever background you bring, please apply if this is a role that would make you excited to come into work every day.&amp;nbsp; And please check out what it&#x27;s like to be a Corvid and our amazing benefits: &lt;a href=&quot;https://www.corvusinsurance.com/life-at-corvus&quot; target=&quot;_blank&quot;&gt;https://www.corvusinsurance.com/life-at-corvus&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Corvus is committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or an accommodation with our hiring process due to a disability, contact us at careers@corvusinsurance.com.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Disclaimer: Bird puns are highly encouraged!&lt;/p&gt;&lt;/div&gt;

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;strong&gt;Why Glassdoor?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Our mission is to help people everywhere find a job and company they love. In the process, we’re transforming the workplace experience through the power of transparency and further cementing ourselves as the worldwide leader in employer branding and insights. By choosing a career at Glassdoor, you’ll be directly contributing toward our vision&amp;nbsp; for a world where transparency empowers the workforce and motivates companies to become better employers.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Please note: This role may be open to remote hiring. Our office locations are in San Francisco, CA; Chicago, IL; Uniontown, OH; London, UK; and Dublin, Ireland.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;You will be part of a very hardworking team of machine learning engineers and data scientists, using the latest machine learning technologies to improve Glassdoor&#x27;s products on user generated content, such as company reviews and interview questions.&lt;/p&gt;
&lt;p&gt;Join us if you have a good understanding of NLP, Search, and machine learning techniques and experience implementing those models at large scale in real-world applications.&lt;/p&gt;
&lt;h3&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Work with product managers, partners, and fellow scientists to determine the best machine learning solutions to a wide variety of business problems.&lt;/li&gt;
&lt;li&gt;Perform data analysis, cleaning, sampling, and feature engineering.&lt;/li&gt;
&lt;li&gt;Perform model training, evaluation, and hyper-parameter tuning.&lt;/li&gt;
&lt;li&gt;Deploy and maintain models in production.&lt;/li&gt;
&lt;li&gt;Write clean, maintainable, and well-documented code.&lt;/li&gt;
&lt;li&gt;Stay up to date with machine learning research and innovative solutions to common machine learning problems.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;What You’ll Bring:&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;A commitment to add to &lt;a href=&quot;https://www.glassdoor.com/blog/diversity-equity-inclusion-transparency-report-2021/&quot; target=&quot;_blank&quot;&gt;our culture&lt;/a&gt; of DEI&lt;/li&gt;
&lt;li&gt;MS or PhD in Machine Learning, Computer Science, or related field.&lt;/li&gt;
&lt;li&gt;3+ years of industry experience with applied machine learning in production.&lt;/li&gt;
&lt;li&gt;Comprehensive knowledge of ML concepts, including classification, regression, and unsupervised learning.&lt;/li&gt;
&lt;li&gt;Hands-on experience with traditional machine learning as well as deep learning algorithms.&lt;/li&gt;
&lt;li&gt;Proficiency with Python programming, including numeric, data analysis, and ML libraries such as NumPy, pandas, Scikit-learn, and/or PyTorch.&lt;/li&gt;
&lt;li&gt;Solid understanding of statistical and mathematical methods used in ML, evaluation, and hypothesis testing.&lt;/li&gt;
&lt;li&gt;Proficiency with deploying models via a platform like MLFLow or AWS SageMaker.&lt;/li&gt;
&lt;li&gt;Proficiency with SQL for data analysis.&lt;/li&gt;
&lt;li&gt;Direct experience with feature engineering using structured or unstructured data.&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;Preferred Qualifications:&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Experience with fine-tuning innovative language models (e.g. BERT, GPT, etc.)&lt;/li&gt;
&lt;li&gt;Familiarity with technologies such as Hadoop or Spark.&lt;/li&gt;
&lt;li&gt;Experience with designing, running, and interpreting the results of A/B tests.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;Compensation and Benefits&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;Base Salary Range*: $144,000.00 - $216,000.00&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Glassdoor base salaries are targeted to the market 75th percentile for technical roles and the 65th percentile for non-technical roles. In other words, 65-75% of comparable organizations in our industry will pay less.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Annual Bonus Target**: 10%&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;**&lt;/strong&gt;Bonuses are paid in 6-month intervals, aligning with bi-annual performance evaluations&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Generous Restricted Stock Units (RSU):&amp;nbsp;&lt;/strong&gt;&lt;em&gt;***Restricted Stock Units (RSU) are awarded at hire and may be refreshed annually. Additionally, as a pay-for-performance company, RSU grant awards are presented bi-annually to exceptional performers.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;em&gt;You can learn more about our compensation philosophy&amp;nbsp;&lt;/em&gt;&lt;/strong&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/pay-and-rewards-at-glassdoor/&quot;&gt;&lt;strong&gt;&lt;em&gt;here&lt;/em&gt;&lt;/strong&gt;&lt;/a&gt;&lt;strong&gt;&lt;em&gt;&amp;nbsp;and see salary ranges for all Glassdoor jobs&amp;nbsp;&lt;/em&gt;&lt;/strong&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/glassdoor-salary-ranges/&quot;&gt;&lt;strong&gt;&lt;em&gt;here&lt;/em&gt;&lt;/strong&gt;&lt;/a&gt;&lt;strong&gt;&lt;em&gt;.&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Health and Wellness:&amp;nbsp;&lt;/strong&gt;100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability, select well-being programs, along with 80% employer-paid premiums for all dependents.* Generous paid time off programs for birthing and non-birthing parents are provided, along with paid injury/illness leave and paid family emergency leave.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;*Coverage begins at the start of employment. After 48 months of continuous employment, 100% of all premiums for you&amp;nbsp;&lt;/em&gt;&lt;strong&gt;&lt;em&gt;and&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;&amp;nbsp;your dependents can be employer-paid!&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Work/Life Balance:&lt;/strong&gt;&amp;nbsp;Open Paid Time Off policy, in addition to 15-20 paid company holidays/year&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Investing in Your Future:&lt;/strong&gt;&amp;nbsp;401(k) plan with a company match up to $5,000 per year, subsidized&amp;nbsp; fertility and family planning services, and discounted legal assistance services.&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;Our Company Values and Commitments&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Transparency: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are open and honest. We share information – the good and the bad – so we can continuously learn, collaborate and make the right decisions.&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/glassdoor-salary-ranges/&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;Pay bands&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;,&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/pay-and-rewards-at-glassdoor/&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;our compensation philosophy,&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; and&lt;/span&gt; &lt;a href=&quot;https://www.glassdoor.com/Polls/Glassdoor-Polls-E100431.htm&quot; target=&quot;_blank&quot;&gt;employee feedback polls&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&amp;nbsp;are shared publicly.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Innovation:&lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; We actively pursue new and different ways to further Glassdoor’s mission. We forge our own path by challenging the status quo. The ultimate goal is not just to change how we operate at Glassdoor, but for every employer to follow our lead!&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Good People: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We work together with integrity, respect and compassion for one another. We have fun together! We are inclusive, fair and humble while remaining confident. We do the right thing, period.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Grit: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are resilient, inventive and fearless. We see challenges as opportunities. With passion and courage, we come together to get the job done.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;strong&gt;Diversity, Equity, and Inclusion: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We are dedicated to building a company that is more diverse and representative of society at large. Glassdoor externally publishes our&lt;/span&gt;&lt;a href=&quot;https://www.glassdoor.com/blog/diversity-equity-inclusion-transparency-report-2021/&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; Diversity &amp;amp; Inclusion report&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; and information about our employee population to hold ourselves accountable to our dedication. We also provide programs and resources to build a greater sense of belonging for our employees.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;a href=&quot;https://www.glassdoor.com/glassdoor&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Glassdoor&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;text-decoration: underline;&quot;&gt;&lt;em&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;US &amp;amp; Ontario Only&lt;/span&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Where legally permitted, Glassdoor requires all employees who report to a workplace, or travel and/or attend in-person meetings, including client visits, to be fully vaccinated against COVID-19. For positions that can only be performed at a Glassdoor office, candidates must be fully vaccinated against COVID-19 and provide acceptable proof of vaccination&lt;/span&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;before their first day of employment as a condition of employment. Glassdoor will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19, two weeks should have elapsed since receiving the second dose (or any government recommended&lt;/span&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;booster shot) in a two-dose COVID-19 vaccine series, or since receiving a single dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;

Senior Machine Learning Scientist

&lt;p&gt;&lt;strong&gt;Location:&lt;/strong&gt; Boston, MA&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Reports To:&lt;/strong&gt; Director, Biomedical Data Science&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Key Tasks:&lt;/strong&gt;&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop modern deep learning methods to analyze biomedical images&lt;/li&gt;
&lt;li&gt;Develop image analysis pipelines to extract morphological features from microscopy images (e.g., fluorescence, bright-field etc.)&lt;/li&gt;
&lt;li&gt;Develop machine learning pipelines to extract information from heterogeneous data types&lt;/li&gt;
&lt;li&gt;Integrate data from multiple sources and perform complex statistical data analyses including multivariate statistical analysis&lt;/li&gt;
&lt;li&gt;Use data mining, machine learning and A.I. methods to reveal complex relationships and patterns in heterogeneous data types&lt;/li&gt;
&lt;li&gt;Develop software tools, web applications and automated scripts that will enable Emulate’s scientists and customers to efficiently analyze and visualize their data&lt;/li&gt;
&lt;li&gt;Test and validate reliable and efficient ways to perform common image processing tasks including both established (free) software or custom-build code, depending on the specific needs of the project&lt;/li&gt;
&lt;li&gt;Develop computational tools and methods to store, process, analyze, visualize and integrate in-house and publicly available RNA-seq, NGS, proteomics and other omics data types to address key questions on biological processes, drug discovery and disease mechanisms&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Desired Skills: &lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Master’s/Ph.D. degree (preferred) in machine learning, computational biology, bioinformatics, computer science, applied mathematics or related field&lt;/li&gt;
&lt;li&gt;3-5 years of experience in industry or academia&lt;/li&gt;
&lt;li&gt;Solid mathematical background and significant depth of expertise in statistics, machine learning/AI, Deep Learning, Bayesian analysis, feature extraction and image analysis&lt;/li&gt;
&lt;li&gt;Hands-on experience working with -omics data analysis (RNA-seq, scRNA-seq, proteomics etc.)&lt;/li&gt;
&lt;li&gt;Experience with data extraction, cleansing and integration from biomedical databases&lt;/li&gt;
&lt;li&gt;Expert-level knowledge of programming languages (R, Python)&lt;/li&gt;
&lt;li&gt;Experience with cloud computing (AWS)&lt;/li&gt;
&lt;li&gt;Good knowledge of Unix/Linux scripting languages (BASH and/or CSH)&lt;/li&gt;
&lt;li&gt;Strong written and verbal communication skills&lt;/li&gt;
&lt;li&gt;Ability to communicate complex computational methods and analysis results to colleagues from various disciplines&lt;/li&gt;
&lt;li&gt;Willingness and ability to explore new areas&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Equal Opportunities: &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Emulate is an Equal Employment Opportunity Employer that is committed to diversity, equity, and inclusion. We take unbiased action to offer employment and advancement opportunities to all applicants, without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or ability status. Our methods for hiring include ensuring that all available opportunities are fairly promoted — via online globally available channels — in a manner accessible to all potential applicants.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About Emulate, Inc. &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Emulate is igniting a new era in human health with industry-leading Organ-on-a-Chip technology. The Human Emulation System provides a window into the inner workings of human biology and disease — offering researchers an innovative technology designed to predict human response with greater precision and detail than conventional cell culture or animal-based experimental testing. Pioneered at the Wyss Institute for Biologically Inspired Engineering at Harvard University and backed by Northpond Ventures, Founders Fund, and Perceptive Advisors, Organ-on-a-Chip technology is already assisting researchers across academia, pharma, and government industries through its predictive power and ability to recreate true-to-life human biology. To learn more, visit&amp;nbsp;&lt;a href=&quot;https://emulatebio.com/&quot;&gt;emulatebio.com&lt;/a&gt;&amp;nbsp;or follow us on&amp;nbsp;&lt;a href=&quot;https://www.linkedin.com/company/emulate-inc-/&quot;&gt;LinkedIn&lt;/a&gt;&amp;nbsp;and&amp;nbsp;&lt;a href=&quot;https://twitter.com/emulateinc&quot;&gt;Twitter&lt;/a&gt;.&amp;nbsp;&amp;nbsp;&lt;/p&gt;

Biomedical Data Scientist 

&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;We’re looking for a &lt;strong&gt;Data Analyst&lt;/strong&gt; to join our data science team.&lt;/span&gt;&lt;/p&gt;
&lt;p style=&quot;margin-top: 0pt; margin-bottom: 8pt; font-family: &#x27;Times New Roman&#x27;; font-size: 12.0pt;&quot;&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;This role focuses on understanding the impact of various data science projects on our user behavior and core business.&amp;nbsp; You will work directly with our industry leading data science team, analyzing the impact of data science initiatives such as personalization, product recommendations, visual search, inventory &amp;amp; fulfillment optimization, and price optimization, as well as administering A/B tests on these initiatives.&lt;/span&gt;&lt;/p&gt;
&lt;p style=&quot;margin-top: 0pt; margin-bottom: 8pt; font-family: &#x27;Times New Roman&#x27;; font-size: 12.0pt;&quot;&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;You will work closely with data scientists, product managers, tech leadership and business stakeholders to analyze data science features and its value to our core business.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Responsibilities:&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Develop and apply mathematical or statistical methods to process, analyze, interpret, and summarize data to provide insights of customer behavior and business trends.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Administer A/B test and other statistical methods to evaluate the performance and impact of data science projects.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Communicate your analyses and test results through Tableau dashboards and presentations to key technical and non-technical stakeholders.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Process and analyze structured and unstructured data to evaluate the validity and opportunity of new projects.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Perform ad-hoc data analysis to interpret changes in customer behavior and business trends&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;&lt;strong&gt;About You:&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don&#x27;t check off every qualification in the job description, that&#x27;s okay. We encourage you to apply to any role that excites you and sparks delight! We can&#x27;t wait to learn more about you.&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;BS (MS preferred) degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Prior experience as a data analyst preferred.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Proficiency in SQL and statistical packages (e.g. R). Familiarity with Python would be a plus.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Experience processing and manipulating large datasets.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p style=&quot;margin-top: 0pt; margin-bottom: 8pt; font-family: Calibri; font-size: 11.0pt;&quot;&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;&lt;span style=&quot;font-weight: bold;&quot;&gt;Location:&lt;/span&gt; USA based, preference Boston based candidates, but we also have offices in New York, Irvine California with hybrid or remote flexibility in other locations.&lt;/span&gt;&lt;/p&gt;
&lt;p style=&quot;margin-top: 0pt; margin-bottom: 8pt; font-family: &#x27;Times New Roman&#x27;; font-size: 12.0pt;&quot;&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;&lt;span style=&quot;font-style: italic;&quot;&gt;Important COVID-19 Guidance (for candidates applying to roles in our MA, NY and CA offices):&amp;nbsp;Per Rue Gilt Groupe’s policy, all associates who will work at our MA, NY or CA offices must be fully-vaccinated and proof of vaccination will be required.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;&lt;strong&gt;ABOUT US:&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We’ve defined the online treasure hunt through our daily sale events allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Rue Gilt Groupe operates three complementary sites – Rue La La, Gilt, and Shop Premium Outlets.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;&gt;Our vision at RGG is to spark delight through daily discovery – we make shopping an occasion to celebrate. At the forefront of fashion and technology, we’re also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected – every day. Our culture is rooted in our values and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious and Empowered&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;

Data Analyst

&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is seeking a highly motivated, goal-oriented, and analytical, &lt;strong&gt;Senior&lt;/strong&gt; &lt;strong&gt;Data Scientist&lt;/strong&gt; to join our exciting and fast paced company in Dania Beach, FL. Our team is growing and if you are equally passionate about data analysis, e-commerce, and career growth, an opportunity at Chewy may be a great match! You will be focused on solving business problems by developing and implementing best-in-class fraud prevention and detection models. In this role, you will be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. You will cooperate with cross-functional teams across the organization in finding insights and developing the right data solutions.&lt;/p&gt;
&lt;p&gt;You should be effective at&amp;nbsp;organizing large amounts of data from multiple data sources and build predictive anomaly detection machine learning models that will help in identifying valid Fraudulent transactions. Your expertise and insights will help us effectively utilize data assets like past Order/Fraud history to control fraud loss and improve customer experience.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What you’ll do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Research, design, and implement predictive models, use data sciences to detect and prevent high risk fraud and reduce false positives.&lt;/li&gt;
&lt;li&gt;When that means high precision classification, you will work fraud and trust SMEs to understand domain knowledge, business expectation and turn them into data driven machine learning approach.&lt;/li&gt;
&lt;li&gt;Develop machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets; partner with Cloud technologists to ensure proper implementation and usage of said algorithms&lt;/li&gt;
&lt;li&gt;Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data&lt;/li&gt;
&lt;li&gt;#OperateAtDepth - Ideate, brainstorm and drive projects from conception to completion&lt;br&gt;Conduct exploratory data analysis, supervised, unsupervised and semi-supervised machine learning to identify fraud trend, segment and clusters, and optimization opportunity&lt;/li&gt;
&lt;li&gt;Lead identification of trends and KPI’s with the objective of improving customer performance&lt;/li&gt;
&lt;li&gt;Mentor junior data analysts and demonstrate Data Science and development best practices&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What you’ll need&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;An M.S., P.H.D., or equivalent experience in a related discipline (Engineering, Mathematics, Physics, Finance or C.S.)&lt;/li&gt;
&lt;li&gt;Experience in Python, R, or other Data Science object-oriented programming language&lt;/li&gt;
&lt;li&gt;Experience with applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering)&lt;/li&gt;
&lt;li&gt;5 years of experience applying Machine Learning, Statistical Modeling, and Data Mining.&lt;/li&gt;
&lt;li&gt;Experience in anomaly detection algorithms including Regressions, Random Forrest, GBMs, Support Vector Machines, KNNs, Neural Nets and Social Network Link analysis.&lt;/li&gt;
&lt;li&gt;Experience with SQL, NoSQL, and unstructured databases (MySQL, Hadoop, Redshift, MongoDB)&lt;/li&gt;
&lt;li&gt;Applied data science techniques, data management and advanced analytic techniques while doing fraud analysis/anomaly detection.&lt;/li&gt;
&lt;li&gt;Hands on experience with software design for scalability, reliability, and performance&lt;/li&gt;
&lt;li&gt;Proven track record in developing mathematical models to predict business outcomes and determine cause and effect relationships&lt;/li&gt;
&lt;li&gt;Candidate must be organized, driven, and exhibit critical thinking skills.&lt;/li&gt;
&lt;li&gt;Candidate must have an entrepreneurial and self-starting mentality.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience working in Agile teams (Scrum, Kanban)&lt;/li&gt;
&lt;li&gt;Experience in working in eCommerce business.&lt;/li&gt;
&lt;li&gt;Knowledge of / experience with multi-channel and cross-channel attribution.&lt;/li&gt;
&lt;li&gt;Extensive CLI and UNIX experience – we live in the terminal!&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Senior/Lead Data Scientist

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;iframe src=&quot;//player.vimeo.com/video/683025251?title=0&amp;amp;byline=0&amp;amp;portrait=0&amp;amp;color=8dc7dc&quot; width=&quot;500&quot; height=&quot;412&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;We’re united by a mission: to make the world a safer place. Corvus Insurance uses novel data and artificial intelligence/machine learning to achieve better insights into commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex claims through data-driven tools and Smart Commercial Insurance® policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings, and soar with us.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;Looking for a company that embraces new technology, including machine learning? Corvus Insurance is looking for a talented Associate Data Scientist to join our Data Science team. We are a dynamic team of entrepreneurial professionals with backgrounds in insurance and technology creating a commercial insurance company that combines the latest technology with traditional insurance. You will be instrumental in building systems that identify and analyze actionable data for our users to consume.&lt;/p&gt;
&lt;h4&gt;&lt;strong&gt;Responsibilities&lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;You will build Statistical and Machine Learning products to support new insurance products&lt;/li&gt;
&lt;li&gt;You will collaborate with other Data Scientists and Engineers to improve our existing risk assessment models&lt;/li&gt;
&lt;li&gt;You will identify, ingest and cleanse innovative sources of data to support existing products, including but not limited to cybersecurity data&lt;/li&gt;
&lt;li&gt;You will perform statistical analysis to support internal decision making&lt;/li&gt;
&lt;li&gt;You will build Data Science features into our user facing software products&lt;/li&gt;
&lt;li&gt;You will work close with engineers to deploy and monitor Data Science Products&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Qualifications&lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;2+ Years of experience as a Data Scientist or similar role&lt;/li&gt;
&lt;li&gt;Experience with Python, R or other similar scripting languages&lt;/li&gt;
&lt;li&gt;Expertise with SQL or other database querying language required&lt;/li&gt;
&lt;li&gt;Ability to critically evaluate and remediate data quality issues&lt;/li&gt;
&lt;li&gt;You are curious and able to adapt to different domains&lt;/li&gt;
&lt;li&gt;Insurance industry experience nice to have&lt;/li&gt;
&lt;li&gt;Experience with AWS stack a plus&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Our Commitment&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;Corvus provides a seriously safe nest for people who come from all paths. Our flock represents a variety of backgrounds, perspectives, and skills. Although confidence can sometimes hold us back from applying for a job, we believe there&#x27;s no such thing as a &#x27;perfect&#x27; candidate.&amp;nbsp; Corvus is a place where everyone can soar. So however you identify and whatever background you bring, please apply if this is a role that would make you excited to come into work every day.&amp;nbsp; And please check out what it&#x27;s like to be a Corvid and our amazing benefits: &lt;a href=&quot;https://www.corvusinsurance.com/life-at-corvus&quot; target=&quot;_blank&quot;&gt;https://www.corvusinsurance.com/life-at-corvus&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Corvus is committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or an accommodation with our hiring process due to a disability, contact us at careers@corvusinsurance.com.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Disclaimer: Bird puns are highly encouraged!&lt;/p&gt;&lt;/div&gt;

Associate Data Scientist

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is growing at a rapid pace. Our approach of thinking about our customers first and ability to move fast has created an opportunity to rethink and redesign our supply chain optimization frameworks from ground up. If the opportunity to create a best in class supply chain network, make a large business impact, and deliver large scale savings intrigue you, we will want to talk to you.&lt;/p&gt;
&lt;p&gt;Chewy&#x27;s Supply Chain Research and Planning Team is seeking a&lt;strong&gt; Data Scientist &lt;/strong&gt;to join the growing Supply Chain Replenishment Science team. Combining a background in Supply Chain with a deep understanding of data science, you will be a part of a team driving the strategic planning and research initiatives for replenishment optimization. This includes identifying the right inputs to optimize our procurement strategies,&amp;nbsp;and developing the various input models from ground up. Chewy’s Supply Chain team operates in a fast-paced environment where every day brings new challenges and new opportunities. You will be responsible for designing and implementing solutions and technologies which will handle the growing business needs and play a key role in redefining what it means to be a world-class Operations Research organization.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop and implement models and algorithms to solve complex supply chain problems using operations research, statistics, and machine learning technologies&lt;/li&gt;
&lt;li&gt;Deep dive large supply chain data to explain change, develop insights, and provide recommendations&lt;/li&gt;
&lt;li&gt;Partner with Supply Chain’s functional areas (with Demand Planning, S&amp;amp;OP, Transportation, and Supply Planning) to develop to optimize our Supply Chain across the board&lt;/li&gt;
&lt;li&gt;Implement process improvement initiatives that drive improvements to the metrics and streamline the Supply Chain&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;An advanced degree (M.S., PhD (preferred), or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field&lt;/li&gt;
&lt;li&gt;3+ years of hands-on academic or practical experience in developing and deploying optimization, predictive and machine learning models&lt;/li&gt;
&lt;li&gt;Knowledge and experience in inventory optimization highly preferred&lt;/li&gt;
&lt;li&gt;SQL, R or Python mastery&lt;/li&gt;
&lt;li&gt;Experience in at least one of the optimization solvers such as Gurobi, CPLEX, Xpress, etc.&lt;/li&gt;
&lt;li&gt;Ability to use collaborative programming tools (Git, Confluence, etc.)&lt;/li&gt;
&lt;li&gt;Ability to translate complex data sets and research into simple business recommendations&lt;/li&gt;
&lt;li&gt;Ability to manage multiple projects and prioritize competing requirements&lt;/li&gt;
&lt;li&gt;Experience in leading and mentoring team of scientists&lt;/li&gt;
&lt;li&gt;Position may require travel&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong leadership and communication skills&lt;/li&gt;
&lt;li&gt;Ability to effectively operate both independently and as part of a team&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Data Scientist - Supply Chain

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;iframe src=&quot;//player.vimeo.com/video/683025251?title=0&amp;amp;byline=0&amp;amp;portrait=0&amp;amp;color=8dc7dc&quot; width=&quot;500&quot; height=&quot;412&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;We’re united by a mission: to make the world a safer place. Corvus Insurance uses novel data and artificial intelligence/machine learning to achieve better insights into commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex claims through data-driven tools and Smart Commercial Insurance® policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings, and soar with us.&lt;/p&gt;&lt;/div&gt;&lt;h4&gt;&lt;strong&gt;Responsibilities &lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;Act as technical lead for the data science team’s cyber data acquisition and enrichment efforts, through prototyping new data products and supporting partnership efforts&lt;/li&gt;
&lt;li&gt;Contribute to our cyber security risk assessment products and communicate insights to underwriters and policyholders&lt;/li&gt;
&lt;li&gt;Collaborate with the Threat Intelligence team to build data driven dynamic underwriting and pricing tools&lt;/li&gt;
&lt;li&gt;Collaborate with Product Managers and the Insurance Team to translate business problems into data problems, and solve them&lt;/li&gt;
&lt;li&gt;Mentor peers on the technology team about security industry trends, and act as a security data subject matter expert&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Clearly communicate analysis and train stakeholders to use our security data products&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Qualifications&lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;10+ years of experience in analytical information security roles, including threat hunting, cyber threat intelligence, red teaming or penetration testing.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Knowledge of current security trends, threats, and mitigations&lt;/li&gt;
&lt;li&gt;Experience working with cyber threat intelligence data, including open source and other common industry vendors&lt;/li&gt;
&lt;li&gt;Ability to prototype security data products and integrate with external APIs utilizing Python, Bash or other scripting languages&lt;/li&gt;
&lt;li&gt;Expertise with SQL or other database querying language&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are curious and able to adapt to different domains&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Our Commitment&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;Corvus provides a seriously safe nest for people who come from all paths. Our flock represents a variety of backgrounds, perspectives, and skills. Although confidence can sometimes hold us back from applying for a job, we believe there&#x27;s no such thing as a &#x27;perfect&#x27; candidate.&amp;nbsp; Corvus is a place where everyone can soar. So however you identify and whatever background you bring, please apply if this is a role that would make you excited to come into work every day.&amp;nbsp; And please check out what it&#x27;s like to be a Corvid and our amazing benefits: &lt;a href=&quot;https://www.corvusinsurance.com/life-at-corvus&quot; target=&quot;_blank&quot;&gt;https://www.corvusinsurance.com/life-at-corvus&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Corvus is committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or an accommodation with our hiring process due to a disability, contact us at careers@corvusinsurance.com.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Disclaimer: Bird puns are highly encouraged!&lt;/p&gt;&lt;/div&gt;

Principal Cyber Risk Analyst

&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Senior Data Scientist&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Location: San Francisco, CA; Boston, MA; New York, NY&lt;/span&gt;&lt;/p&gt;
&lt;h1&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;About Us&lt;/span&gt;&lt;/h1&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Valo Health (formerly Integral Health) is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Valo’s computational platform: an end-to-end, integrated drug discovery and development engine that is being built from the ground up.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Valo hires the best and gives them first-class training and support. If you’re driven to perform, you’ll fit right in! We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins. A centerpiece of our culture is our commitment to inclusion across race, gender, age, religion, identity, and experience. Diversity fuels the Valo experience and drives us every day. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.&lt;/span&gt;&lt;/p&gt;
&lt;h1&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;About the Role&lt;/span&gt;&lt;/h1&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Valo is looking for an experienced Senior Data Scientist to design and implement solutions to real-world small-molecule modeling problems to advance computationally accelerated drug development programs. You will apply and enhance the capabilities of Valo’s Opal platform to advance real-world, active drug development programs. Successful candidates must be committed to working with a diverse set of scientists, entrepreneurs, and domain experts in ways that cut across traditional industry boundaries in a fast-paced startup environment&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Opal is an AI-based platform that leverages human-centric data to enable researchers to discover and develop new drugs. Opal is a fully integrated, AI-powered, cloud-native platform that leverages human-centric data to create new approaches to drug discovery and development enabling researchers to minimize the cost and time associated with discovery, development, and delivery of novel therapeutics. The predictive insights produced by Opal rely on high-quality, high-density human-centric data that is sourced from multiple data sets, processed both remotely and on site through a highly complex process.&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Successful candidates will exhibit the following leadership traits:&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;●&quot; data-font=&quot;&quot; data-listid=&quot;4&quot; data-aria-posinset=&quot;1&quot; data-aria-level=&quot;1&quot;&gt;&lt;strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;Customer Obsession:&lt;/span&gt;&lt;/strong&gt;&lt;span data-contrast=&quot;none&quot;&gt; Mission- and vision-oriented product evangelist. Comfortable with being the face and voice of the product and mission in the market and across the company. Builder mentality. Sees ambiguity as opportunity, and obstacles as chances to build.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li data-leveltext=&quot;●&quot; data-font=&quot;&quot; data-listid=&quot;4&quot; data-aria-posinset=&quot;2&quot; data-aria-level=&quot;1&quot;&gt;&lt;strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;Think Big: &lt;/span&gt;&lt;/strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;Innovative and creative, with a vision that transcends what is visible today.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li data-leveltext=&quot;●&quot; data-font=&quot;&quot; data-listid=&quot;4&quot; data-aria-posinset=&quot;3&quot; data-aria-level=&quot;1&quot;&gt;&lt;strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;Earn Trust:&lt;/span&gt;&lt;/strong&gt;&lt;span data-contrast=&quot;none&quot;&gt; Ability to build credibility and rapport with the executive team to drive collaboration and coordination with key stakeholders. High Emotional Quotient (EQ)&lt;/span&gt;&lt;strong&gt; &lt;/strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;with strong communication and influencing skills, to create corporate-wide alignment around product vision.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li data-leveltext=&quot;●&quot; data-font=&quot;&quot; data-listid=&quot;4&quot; data-aria-posinset=&quot;4&quot; data-aria-level=&quot;1&quot;&gt;&lt;strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;Dealing with ambiguity: &lt;/span&gt;&lt;/strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;Comfortable with charting new territories and navigating with imperfect information and considering decisions of trade-offs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;●&quot; data-font=&quot;&quot; data-listid=&quot;4&quot; data-aria-posinset=&quot;1&quot; data-aria-level=&quot;1&quot;&gt;&lt;strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;Bias for Action: &lt;/span&gt;&lt;/strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;High energy, low ego, and focus on finding data-driven solutions.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:2,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h1&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;What you’ll do…&lt;/span&gt;&lt;/h1&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Work with data scientists, researchers, product teams, and other domain experts to build solutions to complex data-oriented problems &lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Train, assess, deploy, and interpret statistical machine learning models that inform and advance our programs. &lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&lt;span class=&quot;TextRun SCXW4668806 BCX0&quot; lang=&quot;EN-US&quot; data-contrast=&quot;auto&quot;&gt;&lt;span class=&quot;NormalTextRun SCXW4668806 BCX0&quot; data-ccp-charstyle=&quot;normaltextrun&quot; data-ccp-charstyle-defn=&quot;{&amp;quot;ObjectId&amp;quot;:&amp;quot;b88a4f53-2619-44ed-9b4c-2899650681a7|150&amp;quot;,&amp;quot;ClassId&amp;quot;:1073872969,&amp;quot;Properties&amp;quot;:[469775450,&amp;quot;normaltextrun&amp;quot;,201340122,&amp;quot;1&amp;quot;,134233614,&amp;quot;true&amp;quot;,469778129,&amp;quot;normaltextrun&amp;quot;,335572020,&amp;quot;1&amp;quot;,469778324,&amp;quot;Default Paragraph Font&amp;quot;]}&quot;&gt;Design, develop, and scale data curation and modeling pipelines for our large-scale, high-throughput applications.&lt;/span&gt;&lt;span class=&quot;NormalTextRun SCXW4668806 BCX0&quot; data-ccp-charstyle=&quot;eop&quot; data-ccp-charstyle-defn=&quot;{&amp;quot;ObjectId&amp;quot;:&amp;quot;b88a4f53-2619-44ed-9b4c-2899650681a7|151&amp;quot;,&amp;quot;ClassId&amp;quot;:1073872969,&amp;quot;Properties&amp;quot;:[469775450,&amp;quot;eop&amp;quot;,201340122,&amp;quot;1&amp;quot;,134233614,&amp;quot;true&amp;quot;,469778129,&amp;quot;eop&amp;quot;,335572020,&amp;quot;1&amp;quot;,469778324,&amp;quot;Default Paragraph Font&amp;quot;]}&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;span class=&quot;EOP SCXW4668806 BCX0&quot; data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h1&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;What you Bring…&lt;/span&gt;&lt;/h1&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span data-contrast=&quot;auto&quot;&gt;A PhD (or Masters with experience) in Computational Chemistry, Computational Biology,  Bioinformatics, or related quantitative fields. &lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Direct experience or exposure to the drug discovery process, with an understanding of how computational methods deliver impact on preclinical discovery (target identification &amp;amp; validation; small molecule development; elucidating molecular mechanisms of action and modifiers of effects) &lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;16&quot; data-aria-posinset=&quot;1&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot; data-ccp-charstyle-defn=&quot;{&amp;quot;ObjectId&amp;quot;:&amp;quot;b88a4f53-2619-44ed-9b4c-2899650681a7|150&amp;quot;,&amp;quot;ClassId&amp;quot;:1073872969,&amp;quot;Properties&amp;quot;:[469775450,&amp;quot;normaltextrun&amp;quot;,201340122,&amp;quot;1&amp;quot;,134233614,&amp;quot;true&amp;quot;,469778129,&amp;quot;normaltextrun&amp;quot;,335572020,&amp;quot;1&amp;quot;,469778324,&amp;quot;Default Paragraph Font&amp;quot;]}&quot;&gt;Experience with modern statistical analysis and machine learning techniques, particularly in the context of large-scale, high-throughput dataset analysis.&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;eop&quot; data-ccp-charstyle-defn=&quot;{&amp;quot;ObjectId&amp;quot;:&amp;quot;b88a4f53-2619-44ed-9b4c-2899650681a7|151&amp;quot;,&amp;quot;ClassId&amp;quot;:1073872969,&amp;quot;Properties&amp;quot;:[469775450,&amp;quot;eop&amp;quot;,201340122,&amp;quot;1&amp;quot;,134233614,&amp;quot;true&amp;quot;,469778129,&amp;quot;eop&amp;quot;,335572020,&amp;quot;1&amp;quot;,469778324,&amp;quot;Default Paragraph Font&amp;quot;]}&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;16&quot; data-aria-posinset=&quot;2&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;Strong familiarity with the various tools and environments for successful, modern data science: beyond a fundamental comfort zone with the shell, Python/R, and other scripting languages, you have experience using HPC/grid/cloud computing environments, programming against API services, accessing data from a heterogeneous mixture of &lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;flatfiles&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;, SQL relational databases, &lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;noSQL&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;/JSON object storage, and/or RDF/OWL triple-stores.&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;eop&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;16&quot; data-aria-posinset=&quot;3&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;Strong analytical, problem-solving, and communication skills, including facility with &lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;Rmarkdown&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt; and/or &lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;Jupyter&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt; Notebooks for communicating reproducible results; and the ability to also condense, summarize, and synthesize those results into informative and actionable presentations to less technical audiences.&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;eop&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;16&quot; data-aria-posinset=&quot;4&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;&lt;span data-ccp-charstyle=&quot;normaltextrun&quot;&gt;Strong personal project management skills with significant practical experience managing your time split between multiple, parallel projects; experience with Agile processes and frameworks for team collaboration (e.g. Kanban, Atlassian tools)&lt;/span&gt;&lt;span data-ccp-charstyle=&quot;eop&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:true,&amp;quot;134233118&amp;quot;:true,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559740&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h1&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;More on Valo&lt;/span&gt;&lt;/h1&gt;
&lt;p&gt;&lt;span class=&quot;TextRun SCXW14515773 BCX0&quot; lang=&quot;EN-US&quot; data-contrast=&quot;none&quot;&gt;&lt;span class=&quot;NormalTextRun SCXW14515773 BCX0&quot;&gt;Valo Health, LLC (“Valo”) is a tech­nol­o­gy com­pa­ny built to trans­form the drug dis­cov­ery and devel­op­ment process using human-cen­tric data and arti­fi­cial intel­li­gence-dri­ven com­pu­ta­tion. As a dig­i­tal­ly native com­pa­ny, Valo aims to ful­ly inte­grate human-cen­tric data across the entire drug devel­op­ment life cycle into a sin­gle uni­fied archi­tec­ture, there­by accel­er­at­ing the dis­cov­ery and devel­op­ment of life-chang­ing drugs while simul­ta­ne­ous­ly reduc­ing costs, time, and fail­ure rates. The com­pa­ny’s Opal Com­pu­ta­tion­al Plat­form™ is an inte­grat­ed set of capa­bil­i­ties designed to trans­fo&lt;/span&gt;&lt;span class=&quot;NormalTextRun SCXW14515773 BCX0&quot;&gt;rm data into valu­able insights that may accel­er­ate dis­cov­er­ies and enable Valo to advance a robust pipeline of pro­grams across car­dio­vas­cu­lar meta­bol­ic renal, oncol­o­gy, and neu­rode­gen­er­a­tive dis­ease. Found­ed by Flag­ship Pio­neer­ing and head­quar­tered in Boston, MA, Valo also has offices in Lex­ing­ton, MA, San Fran­cis­co, CA, and New York. To learn more, vis­it &lt;/span&gt;&lt;/span&gt;&lt;a class=&quot;Hyperlink SCXW14515773 BCX0&quot; href=&quot;http://www.valohealth.com/&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;TextRun Underlined SCXW14515773 BCX0&quot; lang=&quot;EN-US&quot; data-contrast=&quot;none&quot;&gt;&lt;span class=&quot;NormalTextRun SCXW14515773 BCX0&quot; data-ccp-charstyle=&quot;Hyperlink&quot;&gt;www .val o health .com&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;span class=&quot;TextRun SCXW14515773 BCX0&quot; lang=&quot;EN-US&quot; data-contrast=&quot;none&quot;&gt;&lt;span class=&quot;NormalTextRun SCXW14515773 BCX0&quot;&gt;.&lt;/span&gt;&lt;/span&gt;&lt;span class=&quot;EOP SCXW14515773 BCX0&quot; data-ccp-props=&quot;{&amp;quot;201341983&amp;quot;:1,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:300}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

Senior Data Scientist

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy&#x27;s Supply Chain Team is seeking a&lt;strong&gt; Data Scientist &lt;/strong&gt;to join the growing Supply Chain Forecasting Analytics team. Combining a background in Supply Chain with a deep understanding of analytics and data science, you will be a part of a team responsible for strategic forecasting and research initiatives centered around our operations and planning. This includes retrieving data from different resources and implementing forecasting models to produce accurate predictions and root causing the forecast misses. The Supply Chain team operates in a fast-paced environment where every day brings new challenges and new opportunities. You will be responsible for designing and implementing solutions and technologies which will handle the growing business needs and play a key role in redefining what it means to be a world-class ecommerce organization.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Partner with demand planning, operations, and supply planning to provide best in-class forecast to support mission critical cross functional planning and execution of functional areas including but not limited to Supply Chain, Marketing, and Merchandising&lt;/li&gt;
&lt;li&gt;Assess, interpret, and analyze the data in development of thorough, accurate, and supportable forecasting models and reporting&lt;/li&gt;
&lt;li&gt;Leverage statistical models and machine learning tools to scientifically quantify macro changes from marketing, merchandising, and pricing, to answer key growth challenges related to promotional planning, user segmentation, and network planning&lt;/li&gt;
&lt;li&gt;Develop data driven, insightful end-to-end software solutions using machine learning and optimization methods to answer questions, with a focus on root-causing&lt;/li&gt;
&lt;li&gt;Enable Chewy management to make informed, data-driven decisions by providing business analyses and building advanced data science models&lt;/li&gt;
&lt;li&gt;Identify opportunities and potential business problems to create solutions that allow repeatable analysis, provide actionable recommendations, and potential product of the solution&lt;/li&gt;
&lt;li&gt;Document technical details of your work&lt;/li&gt;
&lt;li&gt;Drive to Win as a Team – constantly pursing exceptional results that help us win in the stakeholders&lt;/li&gt;
&lt;li&gt;Respect for Teammates – encouraging diverse identities, backgrounds, talent, and perspectives&lt;/li&gt;
&lt;li&gt;Collaboration – working with all team members, and across teams, to integrate perspectives and encourage contributions&lt;/li&gt;
&lt;li&gt;Adaptability – quickly applying feedback and circumstances to team priorities&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;An advanced degree (MS or PhD) in Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or equivalent quantitative fields such as Engineering, Computer Science with a background in both time series and machine learning professional experience&lt;/li&gt;
&lt;li&gt;2-5 years industry data scientist experience&lt;/li&gt;
&lt;li&gt;Experience building production-quality data science models including Classification, Clustering, Regression, and time series techniques and advanced Machine Learning models&lt;/li&gt;
&lt;li&gt;Solid understanding and experience in database technologies and SQL mastery&lt;/li&gt;
&lt;li&gt;Proficiency in Python and environments such as Jupyter/PyCharm/Anaconda&lt;/li&gt;
&lt;li&gt;Proficiency in Python packages: numpy, pandas, matplotlib, seaborn, scipy, scikit-learn&lt;/li&gt;
&lt;li&gt;Proficiency in data visualization tools and packages&lt;/li&gt;
&lt;li&gt;Excellent grasp of advanced statistical concepts and methods&lt;/li&gt;
&lt;li&gt;Ability to understand and apply advanced mathematics&lt;/li&gt;
&lt;li&gt;Must have hands-on experience with time series analysis&lt;/li&gt;
&lt;li&gt;Familiarity with the end-to-end data science pipeline and workflow&lt;/li&gt;
&lt;li&gt;Demonstrated analytical and problem-solving skills&lt;/li&gt;
&lt;li&gt;Ability to own and deliver projects&lt;/li&gt;
&lt;li&gt;Ability to see the big picture and the demonstration of strong business intuition&lt;/li&gt;
&lt;li&gt;Ability to translate complex data sets and research into simple business recommendations&lt;/li&gt;
&lt;li&gt;Ability to compile information into unified reports&lt;/li&gt;
&lt;li&gt;Ability to manage multiple projects&lt;/li&gt;
&lt;li&gt;Ability to use version control and collaborative programming tools (Git, Confluence, etc.)&lt;/li&gt;
&lt;li&gt;Ability to effectively operate both independently and as part of a team&lt;/li&gt;
&lt;li&gt;Excellent verbal and written communication skills&lt;/li&gt;
&lt;li&gt;Position may require travel&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience in object-oriented programming with Python&lt;/li&gt;
&lt;li&gt;Experience in R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker&lt;/li&gt;
&lt;li&gt;Experience with data visualization tools and packages (Tableau or similar)&lt;/li&gt;
&lt;li&gt;Experience in Advanced Excel, VBA Macros&lt;/li&gt;
&lt;li&gt;Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms&lt;/li&gt;
&lt;li&gt;Experience and application of optimization techniques such as linear programming or meta-heuristics&lt;/li&gt;
&lt;li&gt;Experience with A/B test design, implementation, and evaluation&lt;/li&gt;
&lt;li&gt;Experience with deep-learning technologies&lt;/li&gt;
&lt;li&gt;Experience working in Agile Development model with incrementally changing requirements&lt;/li&gt;
&lt;li&gt;Self-motivated with strong problem-solving and self-learning skills&lt;/li&gt;
&lt;li&gt;Flexible with respect to changes in work direction as the project develops&lt;/li&gt;
&lt;li&gt;Strong advocate of a culture of process and data quality in all development team&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Data Scientist Jobs in Boston