&lt;h2&gt;&lt;strong&gt;Build the programs to help Flexport grow.&lt;/strong&gt;&lt;/h2&gt;
&lt;h2&gt;&lt;strong&gt;The opportunity:&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Flexport is looking for a creative, technically-minded Machine Learning Scientist (MLS) who is motivated to solve some of the world’s most challenging ML problems in global trade.&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Data is at the heart of our business, and as a Machine Learning Scientist, you will work to evaluate and provide insights into our physical and digital products. In collaboration with multidisciplinary product, engineering, user experience, and business/operations teams, you will apply advanced Machine Learning (ML) methods to deliver data-driven insights and automated decision solutions in Flexport’s freight forwarding products.&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&lt;br&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Our business, product, and engineering teams collaborate closely with our Machine Learning Scientists to share domain knowledge, test hypotheses at scale, and develop promising solutions that can be quickly and widely deployed. In addition, we are passionate about providing effortlessly accessible intelligence and actionable insights to our end users. Thus, the ideal MLS candidate is: self-motivated, highly analytical, technically excellent at writing code, and passionate about delivering cutting-edge solutions.&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;h2&gt;&lt;strong&gt;You Will:&lt;/strong&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Work collaboratively with product, engineering, and business to:&lt;/span&gt;&lt;/li&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Find opportunities to improve and enhance our forecasting technology products.&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;Understand Flexport’s business and operations processes to identify impact opportunities.&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;Translate ambiguous business requirements into the right technical solution.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Design and build robust and scalable production forecasting solutions.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Perform R&amp;amp;D of new ML models and refactor ML solutions to support scalable production deployment.&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;Explore and work with large and complex data sets to implement robust feature and signal extraction models to identify signals that support better decision-making.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Deliver compelling data-driven estimation solutions to support automated decision-making at scale.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Research prior work to inform and develop rational hypotheses and quantify appropriate metrics &amp;amp; targets.&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 collaboratively with other scientists (e.g., operations research, optimization) to develop hybrid solutions that combine machine learning and optimization to automate decision-making.&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 prototype data analysis/machine learning pipelines iteratively as needed to generate actionable insights.&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;Communicate findings to technical collaborators and business stakeholders.&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;Perform requirements gathering and data analysis.&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;You Should Have:&lt;/strong&gt;&lt;/h2&gt;
&lt;h3&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Minimum Qualifications&lt;/span&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Masters degree in quantitative fields (e.g., computer science, mathematics, statistics, physics, engineering, etc.)&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience and strong technical background in one or more of the following: Machine Learning, Natural Language Understanding, Computer Vision, Data Mining, Artificial Intelligence, Numerical Optimization, Data Engineering.&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;3+ years of industry experience building, iterating, validating, and deploying statistical and/or machine learning models.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Software development experience using general-purpose programming languages like Python, Java, or C/++, C#&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience working with large data sets.&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 verbal and written communication.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience training Machine Learning models on libraries such as Tensorflow, PyTorch, Scikit-learn.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Preferred Qualifications&lt;/span&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Ph.D. in quantitative fields (e.g., computer science, mathematics, statistics, physics, engineering, etc.)&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 strong theoretical background in machine learning/artificial intelligence, algorithms, distributed systems, or statistics.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience training machine learning models in a cloud computing environment like Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.&amp;nbsp;&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;Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and experimental design.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience taking research prototypes to 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;Some knowledge of the transportation and logistics industry.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proven object-oriented design and implementation skills (Python, Java, and C++),&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 research track record with contributions to research communities via publications in top conferences and journals and code contributions in open source communities such as scikit-learn, CLTK, NLTK, etc.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;About Flexport&lt;/strong&gt;&lt;/h2&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;span class=&quot;s1&quot;&gt;At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make it easy and accessible for everyone. We’re shaping the future of a $8.6T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;span class=&quot;s1&quot;&gt;The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. At a valuation of $8 billion, we’re experiencing record growth and are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.&lt;/span&gt;&lt;/p&gt;
&lt;h2 class=&quot;_1zc1qs&quot;&gt;Worried about not having any logistics experience?&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Don’t be! Our mission is to make global trade easy &lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;for everyone&lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;. That’s why it’s important to bring people from&lt;/span&gt;&lt;a href=&quot;https://www.flexport.com/careers/diversity-and-inclusion&quot;&gt; &lt;span style=&quot;font-weight: 400;&quot;&gt;diverse backgrounds and experiences&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; together with our industry veterans to help move the global logistics industry forward.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.&lt;/span&gt;&lt;/p&gt;

Machine Learning Scientist II

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy’s Supply Chain Research &amp;amp; Planning (SCRP) group is looking for a highly motivated, goal-oriented, dedicated&amp;nbsp;&lt;strong&gt;Senior Data Scientist&lt;/strong&gt; to join the growing Routing and Customer Promise team. Combining a background in Supply Chain with a deep understanding of network optimization, you will be at the forefront of optimal decision-making for customer order routing. You will build in house tools and systems working collaboratively with other data scientists, engineers, product managers, and business stakeholders across the company.&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;Optimize, simulate, or predict Supply Chain operations.&lt;/li&gt;
&lt;li&gt;Develop algorithms and scripts for production systems.&lt;/li&gt;
&lt;li&gt;Be a subject matter expert for Supply Chain data and processes.&lt;/li&gt;
&lt;li&gt;Deep dive big Supply Chain data to explain change, find hidden opportunity, and provide recommendations.&lt;/li&gt;
&lt;li&gt;Partner with Supply Chain’s functional areas (Supply Planning, Network Planning, Demand Planning, and Transportation) to provide insight and promote action.&lt;/li&gt;
&lt;li&gt;Implement process improvement initiatives that drive change to metrics and streamline the Supply Chain.&lt;/li&gt;
&lt;li&gt;Position may require occasional travel.&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;5+ years’ experience designing optimization and machine learning solutions for large scale applications.&lt;/li&gt;
&lt;li&gt;An advanced degree (MS, PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field.&lt;/li&gt;
&lt;li&gt;Python mastery.&lt;/li&gt;
&lt;li&gt;Proficiency in SQL.&lt;/li&gt;
&lt;li&gt;Extensive experience working with Linear Programming and other optimization techniques.&lt;/li&gt;
&lt;li&gt;Ability to understand and apply advanced mathematics.&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 navigate complex frameworks and coordinate with IT and BI business partners.&lt;/li&gt;
&lt;li&gt;Ability to use collaborative tools (Git, Confluence, etc.), and provide assistance to junior colleague’s usage of those tools.&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, E-commerce, retail, or startup experience is a plus.&lt;/li&gt;
&lt;li&gt;Experience mentoring junior Data Scientists or Analysts.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to deal with ambiguity, needs prioritization, and results delivery in a dynamic environment.&lt;/li&gt;
&lt;li&gt;Programming in R or Java&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 Data Scientist - Order Routing

&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;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&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;p&gt;At Wizards of the Coast, we connect people around the world through play and imagination. From our genre defining games like Magic: The Gathering® and Dungeons &amp;amp; Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in!&lt;/p&gt;
&lt;p&gt;This &lt;strong&gt;Data Scientist&lt;/strong&gt; role will work closely with the Magic the Gathering Marketing Team to craft experiences and fuel Wizard&#x27;s growth across the globe! Your analysis will show where the true value lies in the ever-evolving brand and growth marketing space, helping to craft the future of our business.&lt;/p&gt;
&lt;h2&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Build and maintain marketing reporting tools &lt;/strong&gt;- Help the brand and franchise marketing team achieve their goals by developing accurate tools that provide timely feedback on their active efforts.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Make actionable recommendations&lt;/strong&gt; – Proactively identify and quantify business opportunities using your analytics skills. Your knowledge of marketing industry standards will supplement your analysis to find opportunities in the marketing space.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Innovate on new methods &lt;/strong&gt;- Develop and extend tools to understand the impact of brand awareness marketing. These can range from A/B experiments to measuring social communities with sentiment analysis.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Collaborate with teams across the company &lt;/strong&gt;- Work cross-functionally with paid media, consumer insights, and product teams to define goals, critical metrics, and measures of success.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;What You’ll Bring:&lt;/strong&gt;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;2+ year consistent track record doing data analysis of retail, brand, or digital marketing (or related analytics and reporting).&lt;/li&gt;
&lt;li&gt;Proficiency in SQL, visualization tools such as Tableau, or analytic programming languages such as R/Python.&lt;/li&gt;
&lt;li&gt;Ability to communicate analysis findings and tell a story with data to various types of audiences.&lt;/li&gt;
&lt;li&gt;Knowledge of games or retail products, such as Magic: The Gathering or Dungeons &amp;amp; Dragons.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;&lt;strong&gt;We are an Equal Opportunity / Affirmative Action Employer&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position.&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 essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know.&lt;/p&gt;

Data Scientist: Magic the Gathering Marketing

&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;Do you want to build a model that changes customer experience? Do actually want to see your ideas, your pipelines, your architecture, your experiment really affect the business? If so, &lt;strong&gt;Chewy Recommendations&lt;/strong&gt; team is hiring!&lt;/p&gt;
&lt;p&gt;We use the best machine learning techniques and continuously test the outcomes to simplify product discovery for pet parents looking for their pet needs on Chewy.com. Our exceptional multi-disciplinary team of data scientists, data engineers, software/front-end engineers, and product managers work together to power personalized recommendations and product discovery for pet parents.&lt;/p&gt;
&lt;p&gt;Our mission is to make Chewy a trusted partner who meets pet parents’ needs in an intuitively personalized and friction-free way. Our team has single-threaded ownership of the space allowing us to decide on impactful products that we can experiment with, measure with metrics, and deliver to maximize value to our customers.&lt;/p&gt;
&lt;p&gt;We are hiring&amp;nbsp;&lt;strong&gt;Applied Data Scientist &lt;/strong&gt;in either Bellevue, WA, or Boston, MA. In this position, you will work on all stages of model development from idea, analysis, architecture, pipeline, experimentation, and feedback loop. &amp;nbsp;Personalization includes building understanding across the pet parent journey and making runtime recommendations. Your work will directly impact millions of customers who shop for their furry family members every day. Data Scientist in this team focuses on learning, and on working together as a team to not only deploy model to production but also advance our modeling technique.&amp;nbsp;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&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 partner Program Managers, Merchandizing, along with top engineers at Chewy.&lt;/li&gt;
&lt;li&gt;You will work with product team to build “platform as a product” – not just an infrastructure.&lt;/li&gt;
&lt;li&gt;Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them.&lt;/li&gt;
&lt;li&gt;Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.&lt;/li&gt;
&lt;li&gt;Development science best practices, as well as mentoring junior scientist.&lt;/li&gt;
&lt;li&gt;Work with a team of awesome people who are passionate about personalization.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&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 (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 4+ 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;Pipeline, distributed training &amp;amp; Python mastery.&lt;/li&gt;
&lt;li&gt;Experience working with Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking &amp;amp; embeddings.&lt;/li&gt;
&lt;li&gt;Ability to translate complex data sets and research into simple business recommendations.&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;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience in e-commerce or retail.&lt;/li&gt;
&lt;li&gt;Experience with ML Services in AWS (SageMaker, Personalize).&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;

Applied Data Scientist III

Machine Learning Scientist

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is hiring a&amp;nbsp;&lt;strong&gt;Senior Director, Marketing Analytics &amp;amp; Data Science&lt;/strong&gt; for our Marketing Science &amp;amp; Operations team in one of our three campuses in Dania Beach, FL, Boston, MA, Minneapolis, MN or Seattle, WA. Our mission is to build world-class analytics, data science &amp;amp; technology organization that supports and connects all marketing endeavors across internal and external stakeholders/platforms.&lt;/p&gt;
&lt;p&gt;The team uses business economics, statistics, and machine learning techniques to understand and serve the needs of our pet parents. Developing data-driven marketing solutions, we are an interdisciplinary team of analysts and data scientists committed to solving business problems using cutting-edge technologies and developing data-driven marketing solutions.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;This leadership position will have exposure across the entire business, influencing the heart of Chewy&#x27;s marketing efforts, directly impacting an annual marketing budget of $xxxM, which drives our corporate growth. Committed to value-creation, you will work with cross-functional stakeholders, including Marketing, Merchandising, and Finance, as a thought leader and guide them in their decision-making process using data as your north star. This position will include the following areas of coverage:&amp;nbsp;&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Develop analytical frameworks to address business opportunities across our customer journey, customer behaviors, lifecycle segments, and merchandising categories (Consumables, Hardgoods, Healthcare, etc.)&lt;/li&gt;
&lt;li&gt;Surface growth opportunities and validating hypotheses through experimentation, measurement, statistical methods, and machine learning models.&lt;/li&gt;
&lt;li&gt;Support our Marketing Measurement Science function – this function is committed to developing data-driven solutions, advancing measurement capabilities, building optimization frameworks, establishing best practices. Furthermore, they will identify growth opportunities across marketing channels, using marketing mix modeling (MMM), testing/experimentation, attribution, causal inference, forecasting, 3rd party solutions, etc.&lt;/li&gt;
&lt;li&gt;Develop our customer science function responsible for continuously expanding our customer lifetime value frameworks using causal inference methods to bring precision and speed in the decision-making process. Additionally, they will develop propensity scoring modeling to access the best action for Chewy to personalize the message for each of its customers.&amp;nbsp;&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;&lt;strong&gt;What you&#x27;ll do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Hire, develop and lead a team of data scientists, statisticians and analysts.&lt;/li&gt;
&lt;li&gt;Identify and manage priorities within the context of overall Chewy objectives, and work with data science and engineering colleagues to drive the best practices in developing, testing, and producing models at scale.&lt;/li&gt;
&lt;li&gt;Establish strong working relationships at all organizational levels across different functional teams.&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 the Marketing and Finance teams. You will transform their ideas, preliminary findings, or analyses, whenever applicable, into machine learning-driven business strategies, programs, and actions that would help drive the core objectives. For such transformations, you will guide the teams with the design of experiments, measurements, analyses, and recommendations.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You will set the strategic direction for the data science and analytics teams as they build programs to tackle marketing business problems. Current approaches include but are not limited to media mix modeling, cross-channel spend optimization, multi-touch attribution, propensity, incremental lift, causal inference, structural equation modeling, etc.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You will use data to improve how we make decisions and ultimately enhance customer experience and drive loyalty.&amp;nbsp;&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 (data collection and cleaning, model development and validation, model deployment and scoring, periodic validation and refitting, etc.)&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;Graduate degree (MS/Ph.D./MBA) or comparable experience in Data Science, Machine Learning, Economics, Statistics, Mathematics, Engineering, or highly related quantitative discipline with 8+ years of working experience in the industry, consulting, agency, or academic research.&lt;/li&gt;
&lt;li&gt;Have 8+ years of professional experience in product management, data science, or applied economics, of which 5+ years as a people leader.&lt;/li&gt;
&lt;li&gt;Track record of building and nurturing teams of data scientists, analysts, statisticians, or economists.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Preferably experience of working in marketing analytics and measurement fields, with domain knowledge and familiarity in marketing channels (both digital and mass media such as TV measurement), marketing performance KPIs, marketing advertising platforms (e.g., Google, Facebook, CTV, TV), and marketing analytics tools (e.g., Google Analytics, Ads Data Hub, etc.).&lt;/li&gt;
&lt;li&gt;Preferably has experience in attribution, spend optimization, incrementality testing, etc.&lt;/li&gt;
&lt;li&gt;Possesses excellent verbal and written communication skills with the ability to explain complex concepts to non-experts in a simple, understandable way.&lt;/li&gt;
&lt;li&gt;Working knowledge of AWS data toolset (e.g., Amazon SageMaker, S3) is a plus.&lt;/li&gt;
&lt;li&gt;Can work in a fast-paced environment and be persuasive and caring with a wide range of diverse, cross-cultural audiences.&lt;/li&gt;
&lt;li&gt;Ability to thrive in complex business environments defined by uncertain, incomplete, or limited information and evolving targets. Comfortable finding (or building) common ground to drive their agenda.&lt;/li&gt;
&lt;li&gt;Strong at operating under constraints and prioritizing time-sensitive deliveries.&lt;/li&gt;
&lt;li&gt;Preferably has experience in the e-commerce industry.&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;

Sr Director, Data Science and Analytics

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is seeking a &lt;strong&gt;Senior Data Scientist&lt;/strong&gt; to join the growing Supply Chain Planning team in Bellevue, WA. 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 planning and research initiatives centered around our inventory and fulfillment for Autoship, one of Chewy’s key differentiators.&lt;/p&gt;
&lt;p&gt;This includes optimizing the way that we predict customer demand, account for supply risk, and incorporate customer lifetime value into Autoship decisions. 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 Operations Research organization.&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;Partner with Supply Chain’s functional areas (with Demand Planning, S&amp;amp;OP, Transportation, and Supply Planning) to optimize our Supply Chain&lt;/li&gt;
&lt;li&gt;Improving upon existing methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models&lt;/li&gt;
&lt;li&gt;Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them&lt;/li&gt;
&lt;li&gt;Deep dive big Supply Chain data to explain change, find hidden opportunity, and provide recommendations&lt;/li&gt;
&lt;li&gt;Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations&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 advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field or 4+ 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;R or Python mastery&lt;/li&gt;
&lt;li&gt;Experience working with Predictive Models (Time Series and Regression), Linear Programming, and Classification&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 use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s use of those tools&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus &lt;/strong&gt;(if applicable):&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Expertise in reinforcement learning and/or deep learning&lt;/li&gt;
&lt;li&gt;Strong leadership skills and outgoing&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus&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 Data Scientist

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for a&amp;nbsp;&lt;strong&gt;Merchandising Senior Data Scientist&lt;/strong&gt; who is an expert in Natural Language and Image Processing to join the Merchandising Systems and Services Data Science team at Chewy in Boston, MA or Bellevue, WA. The team is looking to automate the extraction of attributes from free form text and images received from our vendors as part of our product onboarding and also parse text that comes from our online scrapes. Come join our growing data science team solving problems in the space Pricing and Merchandising solutions, we are an interdisciplinary team of data scientists, who are committed to solving business problems using cutting edge technologies and developing data-driven solutions.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;As part of the growing data science team within Merchandising Systems and Services at Chewy, you will have the opportunity to lay the foundation for our Natural Language and Image Processing functions within the team. The problems will range across various applications such as pricing and merchandising. &amp;nbsp;For these business problems, you will lead/establish best practices and establish standards and tenets for solving ML problems involving text, and images acquired from our vendors and customers. &amp;nbsp;You will then have the opportunity to put this into practices by scaling up our capabilities across the Merchandising Systems and Services org and evangelize these newly created capabilities across all of Chewy and becoming a recognized expert and leader.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this role, you will have the opportunity to operate or lead as a full-stack data scientist. In that capacity, you will have the opportunity to design and develop the backend ML frameworks best suited for different business problems, build engineering pipelines to streamline the model development process and launch the decision engines that would help automate the ML-powered business solutions. For such efforts, you will closely work with the data science, ML Operations, analytics, and data engineering teams focused on Pricing and Merchandising problem spaces.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&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;Focusing on the incrementality and the value-creation in everything you do, you will closely work with the stakeholders within the merch category teams (Consumables, Hardgoods, Healthcare, etc.), pricing and data science teams. You will transform their ideas, preliminary findings, or analyses, whenever applicable, into rigorous automated ML models driving incremental business value.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You will introduce the techniques and models within Natural Language and Image Processing to chewy and automate critical processes using Machine Learning that are currently done manually and consume large amounts of human capital. You will identify opportunities for further automation and drive change across the business.&lt;/li&gt;
&lt;li&gt;You will be the subject matter expert for all things Natural Language and Image Processing in Chewy, often being consulted as a trusted expert by other groups across Chewy that require expertise in this area.&lt;/li&gt;
&lt;li&gt;For such transformations, you will guide the teams with the design of experiments, measurement, models, analyses, recommendations, or all. As a data scientist, 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, and build an internal best in class ML pipelines and models to automate the manual translation of free text received from vendors or customers, or transform images sent into usable data to improve the Chewy platform.&lt;/li&gt;
&lt;li&gt;You will be responsible for the full Data Science 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. If needed, you will refit the model following the model lifecycle. 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;You will ideate, architect, and build the technical platforms for all NLP and Image Processing applications laying the foundation for solving these problems across Chewy.&lt;/li&gt;
&lt;li&gt;You will use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty. You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings.&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 (data collection and cleaning, model development and validation, model deployment and scoring, periodic validation and refitting, etc.).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Graduate degree (MS/PhD) in Data Science, Machine Learning, Economics, Statistics, Mathematics, Engineering or related discipline.&lt;/li&gt;
&lt;li&gt;5+ years of professional experience in data science, statistics and/or applied economics.&lt;/li&gt;
&lt;li&gt;Demonstrated expertise in the area of Natural Language Processing with multiple years leading these capabilities for a company.&lt;/li&gt;
&lt;li&gt;Demonstrated practical knowledge in the areas of machine learning, deep learning, experimentation and testing.&lt;/li&gt;
&lt;li&gt;Advanced proficiency in coding and data analysis using Python or R.&lt;/li&gt;
&lt;li&gt;Advanced proficiency with SQL.&lt;/li&gt;
&lt;li&gt;Proven experience in the design and execution of analytical projects.&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 ambiguous customer requirements into clear problem definitions and delivering them.&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 the e-commerce industry.&lt;/li&gt;
&lt;li&gt;Travel may be required.&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;

Merchandising Senior Data Scientist

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy’s Supply Chain Transformation team is looking for a highly motivated, goal-oriented,&amp;nbsp;&lt;strong&gt;Senior Data Scientist&lt;/strong&gt; (IV) to join the growing Supply Chain Transformation team in Bellevue, WA. Combining a background in Supply Chain with a deep understanding of network optimization, you will be at the forefront of optimal decision-making for inventory placement and routing. You will build in house tools and systems working collaboratively with other data scientists, engineers, product managers, and business stakeholders across the company.&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;Optimize, simulate, or predict Supply Chain operations, including inventory placement to satisfy customer demand at lowest cost.&lt;/li&gt;
&lt;li&gt;Develop algorithms and scripts for production systems, leveraging SQL, Python, R, and Tableau.&lt;/li&gt;
&lt;li&gt;Become a subject matter expert for Supply Chain data and processes.&lt;/li&gt;
&lt;li&gt;Deep dive big Supply Chain data to explain change, find hidden opportunity, and provide recommendations and automated solutions.&lt;/li&gt;
&lt;li&gt;Partner with Supply Chain’s functional areas (Supply Planning, Network Planning, Demand Planning, and Transportation) to provide insight and promote action.&lt;/li&gt;
&lt;li&gt;Implement process improvement initiatives that drive change to metrics and streamline the Supply Chain.&lt;/li&gt;
&lt;li&gt;Work closely with operations teams and research science teams to identify opportunities to reduce Chewy’s total cost of fulfillment.&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;5+ years’ experience designing optimization and machine learning solutions for large scale applications.&lt;/li&gt;
&lt;li&gt;An advanced degree (MS, PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field.&lt;/li&gt;
&lt;li&gt;Python mastery, SQL mastery&lt;/li&gt;
&lt;li&gt;Extensive experience working with Linear Programming and other optimization techniques.&lt;/li&gt;
&lt;li&gt;Ability to understand and apply advanced mathematics.&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 work through infrastructure build out and coordinate with IT and BI business partners to drive scalable long term solutions.&lt;/li&gt;
&lt;li&gt;Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s usage of those tools.&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, E-commerce, retail, or startup experience is a plus.&lt;/li&gt;
&lt;li&gt;Experience mentoring junior Data Scientists or Analysts.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to deal with ambiguity, prioritizing needs, and deliver results in a dynamic environment.&lt;/li&gt;
&lt;li&gt;Programming in R, Java, and Operational Research background.&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;

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for a&amp;nbsp;&lt;strong&gt;Staff Data Scientist&amp;nbsp;or&amp;nbsp;Staff Statistician&amp;nbsp;or&amp;nbsp;Staff Economist&lt;/strong&gt; with a background in econometric modelling and statistical testing to join the Merchandising Systems and Services Data Science team at Chewy in Bellevue, WA. The team uses Business Economics, Statistics, and Machine Learning techniques to understand and serve the needs of our pet-parents. Developing data-driven Pricing and Merchandising solutions, we are an interdisciplinary team of data scientists, who are committed to solving business problems using cutting edge technologies and developing data-driven solutions.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;As part of the growing data science team within Merchandising Systems and Services at Chewy, you will have the opportunity to lay the groundwork for our testing and experimentation function within the team. The problems will range across various applications such as pricing and merchandising. For these business problems, you will lead/establish best practices and establish standards and tenets for statistical testing across Chewy. &amp;nbsp;You will then have the opportunity to put this into practices by scaling up our testing capabilities across the Merchandising Systems and Services org and evangelize these newly created capabilities across all of Chewy.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this role, you will have the opportunity to operate or lead as a full-stack data scientist. In that capacity, you will have the opportunity to design and develop the backend statistical frameworks best suited for different business problems, build engineering pipelines to streamline the model development process and launch the decision engines that would help automate the ML-powered business solutions. For such efforts, you will closely work with the data science, ML Operations, analytics, and data engineering teams focused on Pricing and Merchandising problem spaces.&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;Focusing on the incrementality and the value-creation in everything you do, you will closely work with the stakeholders within the merch category teams (Consumables, Hardgoods, Healthcare, etc.), pricing and data science teams. You will transform their ideas, preliminary findings, or analyses, whenever applicable, into statistically significant outcomes help drive the core objectives&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. As a data scientist, 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, and build an internal testing platform to automate test launch and enable a broader audience to be able to conduct statistical tests. 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 be responsible for the full Data Science 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. If needed, you will refit the model following the model lifecycle. 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;You will ideate, architect, and build the technical platforms for our Statistical Testing engine which will become the platform at which we launch all statistical tests across all of Chewy&lt;/li&gt;
&lt;li&gt;You will use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty. You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings.&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 (data collection and cleaning, model development and validation, model deployment and scoring, periodic validation and refitting, etc.)&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;Graduate degree (MS/PhD) in Data Science, Machine Learning, Economics, Statistics, Mathematics, Engineering or related discipline&lt;/li&gt;
&lt;li&gt;10+ years of professional experience in data science, statistics and/or applied economics&lt;/li&gt;
&lt;li&gt;Demonstrated leadership and expertise in the area of statistical testing with multiple years leading and growing statistical testing capabilities for a company&lt;/li&gt;
&lt;li&gt;Demonstrated practical knowledge in the areas of machine learning, deep learning, experimentation and testing&lt;/li&gt;
&lt;li&gt;Advanced proficiency in coding and data analysis using Python or R&lt;/li&gt;
&lt;li&gt;Advanced proficiency with SQL&lt;/li&gt;
&lt;li&gt;Proven experience in the design and execution of analytical projects.&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 ambiguous customer requirements into clear problem definitions and delivering them&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 the e-commerce industry&lt;/li&gt;
&lt;li&gt;Travel may be required&amp;nbsp;&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;

Staff Data Scientist, Statistics

&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;Business Intelligence Engineer&lt;/strong&gt; to join our Supply Chain Planning team in Dania Beach, FL. Our team influences daily business and operational decisions for Autoship, one of Chewy’s key differentiators.&lt;/p&gt;
&lt;p&gt;We build systems and models to ensure that our pet parents get their Autoship orders on time. Measuring &amp;amp; ensuring the success of Autoship is critical, from figuring out how to collect the right data from various systems, to designing systems on how to quickly process this data, to developing machine-learning algorithms to use this data and improve.&lt;/p&gt;
&lt;p&gt;As a Business Intelligence Engineer, you will be responsible for understanding and mining a large amount of data, building metrics, finding answers, and creating solutions. The team will look to you for advice on analytical and business issues facing them. You should be a self-starter who knows BI tools and enjoys working with data, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets.&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;Interfacing with key business customers, gathering requirements and delivering complete BI solutions (datasets, queries, reports, dashboards, analyses or components of larger solutions) to improve service to Chewy’s customers&lt;/li&gt;
&lt;li&gt;Building metrics to analyze key inputs and outputs, use both quantitative and qualitative reasoning to break down complex problems into actionable plans.&lt;/li&gt;
&lt;li&gt;Troubleshooting data/analyses/code to find root causes and proposing and owning solutions&lt;/li&gt;
&lt;li&gt;Design, develop and maintain scalable and automated reports and dashboards&lt;/li&gt;
&lt;li&gt;Partnering with BI team to prioritize/QA development of new data tables and fields&lt;/li&gt;
&lt;li&gt;Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation&lt;/li&gt;
&lt;li&gt;Exhibiting a strong sense of ownership, bias for action, and superior communication skills; be willing to roll up your sleeves to get the job done.&lt;/li&gt;
&lt;li&gt;Develop queries and visualizations for ad-hoc requests and projects&lt;/li&gt;
&lt;li&gt;Onboard and train new employees if necessary&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;Bachelor’s degree or higher in a quantitative field such as Computer Science, Engineering, Math, Business Analytics, Finance, Economics, Statistics, or equivalent work experience&lt;/li&gt;
&lt;li&gt;2+ years of relevant working experience in an analytical role involving data extraction and analysis&lt;/li&gt;
&lt;li&gt;Knowledge and direct experience using business intelligence reporting/visualization tools (Excel, Tableau, Knime etc.)&lt;/li&gt;
&lt;li&gt;Understanding of different database technologies (i.e., Vertica, SQL Server, Snowflake etc.).&lt;/li&gt;
&lt;li&gt;Expertise in writing and tuning SQL scripts&lt;/li&gt;
&lt;li&gt;Knowledge of scripting for automation (e.g. Python, R)&lt;/li&gt;
&lt;li&gt;Excellent analytical skills with demonstrated experience turning data into actionable insights.&lt;/li&gt;
&lt;li&gt;Passionate about building functional and engaging customer experiences.&lt;/li&gt;
&lt;li&gt;Cross-functional leadership experience.&lt;/li&gt;
&lt;li&gt;Ability to multi-task and work well within a dynamic, fast-paced and rapidly-changing organization&lt;/li&gt;
&lt;li&gt;Strong interpersonal skills and a positive, people-oriented attitude.&lt;/li&gt;
&lt;li&gt;Superior attention to details and ability to learning quickly&lt;/li&gt;
&lt;li&gt;Self-motivated, high energy, proactive and demonstrates problem solving skills&lt;/li&gt;
&lt;li&gt;Position may require travel&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;

Business Intelligence Engineer II

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is looking for a &lt;strong&gt;Data Scientist or Machine Learning Scientist&lt;/strong&gt; with a background in econometric modelling to join the Autoship Data Science team at Chewy in Boston, MA. 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;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&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, Machine Learning

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is seeking a&amp;nbsp;&lt;strong&gt;Senior Data Scientist&lt;/strong&gt;&amp;nbsp;to join the growing Supply Chain Planning team in Dania Beach, FL or Bellevue, WA. 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 planning and research initiatives centered around our inventory and fulfillment for Autoship, one of Chewy’s key differentiators.&lt;/p&gt;
&lt;p&gt;This includes optimizing the way that we predict customer demand, account for supply risk, and incorporate customer lifetime value into Autoship decisions. 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 Operations Research organization.&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;Partner with Supply Chain’s functional areas (with Demand Planning, S&amp;amp;OP, Transportation, and Supply Planning) to optimize our Supply Chain&lt;/li&gt;
&lt;li&gt;Improving upon existing methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models&lt;/li&gt;
&lt;li&gt;Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them&lt;/li&gt;
&lt;li&gt;Deep dive big Supply Chain data to explain change, find hidden opportunity, and provide recommendations&lt;/li&gt;
&lt;li&gt;Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations&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 advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field or 4+ 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;R or Python mastery&lt;/li&gt;
&lt;li&gt;Experience working with Predictive Models (Time Series and Regression), Linear Programming, and Classification&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 use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s use of those tools&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;(if applicable):&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Expertise in reinforcement learning and/or deep learning&lt;/li&gt;
&lt;li&gt;Strong leadership skills and outgoing&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;

&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; Senior 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;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;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;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;

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for a&amp;nbsp;&lt;strong&gt;Senior Marketing Analytics Manager&lt;/strong&gt; for our Marketing Science team in Seattle, WA. The role offers a great opportunity for professional growth with the leading online pet retailer in the US. With access to a wide variety of data across the organization, you will have the opportunity to influence the decision-making process and the marketing strategies for existing customers and marketing.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this role, you will focus on&amp;nbsp;(a) developing analytical frameworks&amp;nbsp;to address business problems across different merch categories (Consumables, Hardgoods, Healthcare, etc.), customer&amp;nbsp;behaviors, lifecycle segments, promotions, offers, etc.&amp;nbsp;(b) surfacing growth opportunities and validating the hypotheses through experimentation, measurement and analysis using statistical methods and machine learning models&amp;nbsp;(c) improving the lifetime value of our customers by using different customer relationship management&amp;nbsp;efforts, (d) optimizing the performance of marketing channels&lt;/p&gt;
&lt;p&gt;Committed to value-creation, you will work with the cross-functional stakeholders as a thought partner and guide them in their decision-making process using data as your north star.&amp;nbsp;You will support various initiatives using structured analyses and data to help your counterparts form opinions and help them develop strategies to take the company forward through bespoke targeting, product offering, value propositions, marketing placements, messaging, and content.&amp;nbsp;Supporting company’s growth agendas with speed and accuracy, you will lead the design of experiments across various life stages of customers and products to maximize the overall value for Chewy&#x27;s and its customers and make our business grow through permanent learning.&lt;/p&gt;
&lt;p&gt;You will be able to work with minimal instruction and oversight, conduct multiple tasks and projects simultaneously, maintain relationships with senior leaders, and own deliverables end to end. You will think strategically, develop insightful analysis, communicate findings concisely to senior leaders, work effectively as part of a cross-functional team, and tame big data.&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;With a deep understanding of business drivers and an innate grasp of the key business metrics, you pro-actively interact with the stakeholders within the business teams and support them on prioritized initiatives through data-driven experiments at scale, and analytical exercises (preliminary data analysis, machine learning model development, detailed data analysis, financial analysis and recommendations)&lt;/li&gt;
&lt;li&gt;You drive strategic insights on customer behavior (engagement RFM, retention, product-mix, sales, etc.), customer needs (pricing, product, convenience, experience, etc.), and existing/new propositions (loyalty programs, sales campaigns, discounted offers, etc.) across various membership types and marketing channels&lt;/li&gt;
&lt;li&gt;You create insights, detailed analyses, experiment design and measurement, forecasting, and model development exercises for various business objectives - such as maximizing the share of wallet, the lifetime value, and the operating profit, optimizing the campaigns, programs (Autoship, Promotions, Loyalty, etc.) while minimizing the overall churn&lt;/li&gt;
&lt;li&gt;You use the data science and engineering to leverage new and existing machine learning models and help scale their usage across multiple use-cases&lt;/li&gt;
&lt;li&gt;Using your business acumen and key insights, you proactively explore new areas of opportunities to drive Chewy&#x27;s value and growth goals forward and coordinate with the key stakeholders to prioritize and lead the changes to production&lt;/li&gt;
&lt;li&gt;You create and automate new and existing reporting, forecasting, and simulations&lt;/li&gt;
&lt;li&gt;You proactively monitor existing metrics, develop and propose new metrics, and work across the organization to make actionable intelligence available to business stakeholders&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;Graduate degree, preferably MS or PhD, in Engineering, Data Science, Economics, Statistics, Mathematics, or related discipline&lt;/li&gt;
&lt;li&gt;6+ years of relevant industry experience in the areas of Strategic Analytics, Business Intelligence, Business Economics, Data Science, or Consulting&lt;/li&gt;
&lt;li&gt;Strong theoretical and functional understanding of statistical&amp;nbsp;and machine learning concepts and experience in employing these concepts to solve business problems at scale using Python, R, SAS, etc.&lt;/li&gt;
&lt;li&gt;Strong experience in spearheading or supporting business initiatives through data-driven decision frameworks, in particular through the conception, execution, and measurement of experimental A/B plans&lt;/li&gt;
&lt;li&gt;Hands-on experience in developing data-driven products (ML models, forecasting tools, etc.) and scorecards, and sharing business recommendation and their financial/customer impact with the stakeholders&lt;/li&gt;
&lt;li&gt;Experience in working with cross-functional teams in a fast-paced environment and managing priorities among multiple projects&lt;/li&gt;
&lt;li&gt;Expertise in scripting languages (such as SQL, Python, R, SAS, etc.) and the tools (such as MS Excel, PowerPoint, etc.) required to perform analysis&lt;/li&gt;
&lt;li&gt;Experience in developing visualization tools such as Tableau, Microstrategy, Shiny, etc., and analytics/presentation.&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 highest quality&lt;/li&gt;
&lt;li&gt;Proven experience in identifying opportunities for business improvement, defining and measuring the success of those initiatives&lt;/li&gt;
&lt;li&gt;Demonstrated ability to dig into the “why” of various results and present data driven insights and recommendations&lt;/li&gt;
&lt;li&gt;Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses&lt;/li&gt;
&lt;li&gt;Ability to multi-task and work under firm deadlines within a rapidly changing environment&lt;/li&gt;
&lt;li&gt;Passion for data (and fearlessness in the face of a data tsunami) and obsession to use it to drive value for customers and business&lt;/li&gt;
&lt;li&gt;Can work in a fast-paced environment and be persuasive and caring with a wide range of diverse, cross-cultural audiences&lt;/li&gt;
&lt;li&gt;Communication skills must be as polished in person as they are over video- or audio- conferences&lt;/li&gt;
&lt;li&gt;Ability to thrive in complex business environments defined by uncertain, incomplete, or limited information and evolving targets Comfortable finding (or building) common ground to drive his/her agenda&lt;/li&gt;
&lt;li&gt;Strong at handling urgencies, constrains and prioritizing deliveries&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;

Sr Marketing Analytics Manager

&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 Jobs in Bellevue