&lt;section class=&quot;job-description&quot; data-ph-id=&quot;ph-page-element-page21-X5O421&quot;&gt;
&lt;div class=&quot;jd-info au-target&quot; data-ph-at-id=&quot;jobdescription-text&quot; data-ph-id=&quot;ph-page-element-page21-3TYhvo&quot;&gt;
&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy&#x27;s Supply Chain Team is seeking a&amp;nbsp;&lt;strong&gt;Senior Supply Chain Data Scientist&lt;/strong&gt;&amp;nbsp;to join its growing &lt;strong&gt;Inventory Optimization&lt;/strong&gt; team. Combining a background in Supply Chain with a deep understanding of optimization and data science, you will be a part of a team responsible for strategic planning and research initiatives centered around Chewy’s inventory strategy. Your optimization models will guide Chewy’s inventory placement strategy as we aim to improve customer experience though shorter transit times while reducing Chewy’s inventory holding costs and transportation spend. Moreover, you will develop Data Science solutions to support partners across Network Topology, Forecasting, Replenishment, and Operations to scale with the business’s growing needs. You will serve a subject matter expert, mentoring Data Scientists on the team to develop a world class data science organization.&lt;/p&gt;
&lt;p&gt;&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;Mentor and support a team of Data Scientists in developing new models and algorithms in the Inventory Optimization space&lt;/li&gt;
&lt;li&gt;Develop optimization models to establish an ideal inventory placement strategy at Chewy&lt;/li&gt;
&lt;li&gt;Create models to quantify item substitutability and interactions between inventory in Chewy’s catalog&lt;/li&gt;
&lt;li&gt;Partner with business users and other data scientists and engineers to build automated solutions at the intersection of inventory optimization, replenishment, topology, and operations&lt;/li&gt;
&lt;li&gt;Develop scenario management models to facilitate “what if” scenario planning&lt;/li&gt;
&lt;li&gt;Communicate your findings to senior leaders and executives throughout the company&lt;/li&gt;
&lt;/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;5+ years’ experience designing optimization and machine learning solutions for large scale applications&lt;/li&gt;
&lt;li&gt;Ability to understand and apply advanced mathematics&lt;/li&gt;
&lt;li&gt;An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field&lt;/li&gt;
&lt;li&gt;Python or R mastery&lt;/li&gt;
&lt;li&gt;Extensive experience working with Linear Programming, Mixed Integer Linear Programming, and ML models&lt;/li&gt;
&lt;li&gt;Ability to translate complex data sets and research into simple business recommendations&lt;/li&gt;
&lt;li&gt;Ability to manage multiple projects&lt;/li&gt;
&lt;li&gt;Ability to work through infrastructure build out and coordinate with IT and BI business partners&lt;/li&gt;
&lt;li&gt;Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s use of those tools&lt;/li&gt;
&lt;li&gt;Experience mentoring both junior and experienced data scientists&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Supply chain experience&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus.&lt;/li&gt;
&lt;li&gt;Strong leadership skills and outgoing personality&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;/div&gt;
&lt;/section&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 - Inventory Optimization

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

Data Scientist - Inventory Optimization

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

Senior Data Scientist, IT Fulfillment and Logistics

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is 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;

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

Data Scientist - Supply Chain

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for a &lt;strong&gt;Senior Data Scientist or Senior Economist &lt;/strong&gt;(Flexible on level) with a background in econometric modelling, machine learning and operations research to join the Merchandising Systems and Services Data Science team at Chewy (Location Flexible). 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 work on our pricing models having direct impact on the prices customers see on the Chewy website and having a direct impact to the Chewy bottom line by optimizing revenues through price optimization.&amp;nbsp; You will have the opportunity to put this into practices by scaling up our pricing models and evangelize these capabilities across all of Chewy’s product lines.&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 this capacity, you will have the opportunity to work on our core pricing models having a direct impact to the prices customers see on the Chewy website that ultimately optimize revenues for Chewy.&amp;nbsp; In this role you will also 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’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 supply chain data science teams. You will transform ideas, preliminary findings, or analyses, whenever applicable, into models to help drive the core objectives&amp;nbsp;&lt;/li&gt;
&lt;li&gt;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 and models. 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, build and enhance the platform for our Pricing Engine.&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’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 leadership and expertise in the area of econometric modeling with multiple years working on pricing models and optimizing pricing in industry. Preference for experience with an e-commerce company.&lt;/li&gt;
&lt;li&gt;Demonstrated practical knowledge in the areas of machine learning, deep learning, econometric modeling, 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;/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;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; (IV) to join the growing Routing and Customer Promise team in Minneapolis, MN. 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;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 manage multiple projects&lt;/li&gt;
&lt;li&gt;Ability to work through infrastructure build out and coordinate with IT and BI business partners.&lt;/li&gt;
&lt;li&gt;Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s 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 or Java&lt;strong&gt;&lt;br&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Sr Data Scientist

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

Associate Director, Data Scientist

&lt;div class=&quot;textLayer&quot;&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;Chewy is looking for a&amp;nbsp;&lt;strong&gt;Senior&amp;nbsp;Data Scientist &lt;/strong&gt;for our &lt;strong&gt;Fulfillment &amp;amp; Logistics&lt;/strong&gt; org in &lt;strong&gt;Boston MA&lt;/strong&gt;,&lt;br&gt;&lt;strong&gt;Seattle, WA.&lt;/strong&gt; &lt;strong&gt;Dania Beach FL&lt;/strong&gt; or &lt;strong&gt;Minneapolis MN&lt;/strong&gt;. This is a leadership position that will have exposure across the entire &lt;br&gt;business, influencing the vision and implementation of machine learning systems that &lt;br&gt;enable Chewy’s Fulfillment &amp;amp; Logistics organization. You&#x27;ll bring experience spanning &lt;br&gt;data science, software engineering and team leadership. This role offers a great &lt;br&gt;opportunity for professional growth with the leading online pet retailer in the US.&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;Work collaboratively with Engineering and Product teams to deliver technologies that &lt;br&gt;improve Chewy’s fulfillment and Logisitcs operations.&lt;br&gt;Drive continuous improvements to the assets that are delivered, bringing in best of new &lt;br&gt;advances in the space&lt;br&gt;Understand and manage technical and operational aspects of running machine learning &lt;br&gt;systems at scale.&lt;br&gt;Drive development of data science practices across Chewy teams. Push adoption of &lt;br&gt;emerging and relevant approaches to solve Supply Chain Optimization problems.&lt;br&gt;Establish strong working relationships at all organizational levels across different &lt;br&gt;functional teams. You may work with multiple teams and systems across Fulfillment, &lt;br&gt;Supply Chain, and Business Intelligence.&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;&amp;nbsp;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;MS or PhD in field (Computer Science, Mathematics, - Machine Learning, AI, Statistics, or &lt;br&gt;equivalent).&lt;br&gt;5+ years of experience working in data science.&lt;br&gt;Demonstrated experience of translating ambiguous customer requirements into clear &lt;br&gt;problem definitions and delivering them.&lt;br&gt;Demonstrated practical knowledge in the areas of machine learning, deep learning or &lt;br&gt;information search.&lt;br&gt;Excellent verbal and written communication skills. Able to explain details of complex &lt;br&gt;concepts to non-expert stakeholders in simple understandable way.&lt;br&gt;Working knowledge of AWS data toolset (Glue, Athena, Sagemaker etc).&lt;br&gt;Experience in hiring and developing junior members.&lt;br&gt;Position may require some travel.&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;Experience in a fulfillment or logisitics or e-commerce environment.&lt;/div&gt;
&lt;div class=&quot;textLayer&quot;&gt;&lt;br&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you &lt;br&gt;require a religious accommodation, and you wish to discuss potential accommodations &lt;br&gt;related to applying for employment at our company, please contact&amp;nbsp;HR@Chewy.com.&lt;br&gt;To access Chewy’s Privacy Policy, which contains information regarding information &lt;br&gt;collected from job applicants and how we use it, please click here:&amp;nbsp;Chewy Privacy &lt;br&gt;Policy&amp;nbsp;(https://www.chewy.com/app/content/privacy).&lt;/div&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;section class=&quot;job-description&quot; data-ph-id=&quot;ph-page-element-page21-X5O421&quot;&gt;
&lt;div class=&quot;jd-info au-target&quot; data-ph-at-id=&quot;jobdescription-text&quot; data-ph-id=&quot;ph-page-element-page21-3TYhvo&quot;&gt;
&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy&#x27;s Supply Chain Team is seeking a&amp;nbsp;&lt;strong&gt;Senior Supply Chain Data Scientist&lt;/strong&gt;&amp;nbsp;to join the growing Supply Chain Analytics 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 network. This includes optimizing the way that we predict customer demand, purchase inventory, position inventory within our network, and ship orders to our customers. 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 Data Science and Supply Chain organization.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Predict, simulate, and optimize Supply Chain operations.&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;Develop algorithms and scripts for production systems.&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;Be a subject matter expert for Supply Chain data and processes.&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 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;Ability to understand and apply advanced mathematics&lt;/li&gt;
&lt;li&gt;An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field&lt;/li&gt;
&lt;li&gt;R or Python mastery&lt;/li&gt;
&lt;li&gt;Extensive 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 manage multiple projects&lt;/li&gt;
&lt;li&gt;Ability to work through infrastructure build out and coordinate with IT and BI business partners&lt;/li&gt;
&lt;li&gt;Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s use of those tools&lt;/li&gt;
&lt;li&gt;Experience mentoring both junior and experienced data scientists&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Supply chain experience&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus.&lt;/li&gt;
&lt;li&gt;Strong leadership skills and outgoing personality&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;div class=&quot;content-conclusion&quot;&gt;
&lt;h4&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&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&amp;nbsp;&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;/div&gt;
&lt;/section&gt;
&lt;section class=&quot;ph-widget-dummy ph-dummy-widget&quot; data-ph-id=&quot;ph-page-element-page21-Q4XmGs&quot;&gt;&lt;/section&gt;
&lt;section class=&quot;ph-widget&quot; data-ph-id=&quot;ph-page-element-page21-rn5U26&quot;&gt;
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&lt;/div&gt;
&lt;/section&gt;
&lt;/div&gt;
&lt;/section&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&#x27;s Supply Chain Team is seeking a&lt;strong&gt; Data Scientist &lt;/strong&gt;to join the growing Supply Chain Forecasting Analytics team. Combining a background in Supply Chain with a deep understanding of analytics and data science, you will be a part of a team responsible for strategic forecasting and research initiatives centered around our operations and planning. This includes retrieving data from different resources and implementing forecasting models to produce accurate predictions and root causing the forecast misses. The Supply Chain team operates in a fast-paced environment where every day brings new challenges and new opportunities. You will be responsible for designing and implementing solutions and technologies which will handle the growing business needs and play a key role in redefining what it means to be a world-class ecommerce organization.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Partner with demand planning, operations, and supply planning to provide best in-class forecast to support mission critical cross functional planning and execution of functional areas including but not limited to Supply Chain, Marketing, and Merchandising&lt;/li&gt;
&lt;li&gt;Assess, interpret, and analyze the data in development of thorough, accurate, and supportable forecasting models and reporting&lt;/li&gt;
&lt;li&gt;Leverage statistical models and machine learning tools to scientifically quantify macro changes from marketing, merchandising, and pricing, to answer key growth challenges related to promotional planning, user segmentation, and network planning&lt;/li&gt;
&lt;li&gt;Develop data driven, insightful end-to-end software solutions using machine learning and optimization methods to answer questions, with a focus on root-causing&lt;/li&gt;
&lt;li&gt;Enable Chewy management to make informed, data-driven decisions by providing business analyses and building advanced data science models&lt;/li&gt;
&lt;li&gt;Identify opportunities and potential business problems to create solutions that allow repeatable analysis, provide actionable recommendations, and potential product of the solution&lt;/li&gt;
&lt;li&gt;Document technical details of your work&lt;/li&gt;
&lt;li&gt;Drive to Win as a Team – constantly pursing exceptional results that help us win in the stakeholders&lt;/li&gt;
&lt;li&gt;Respect for Teammates – encouraging diverse identities, backgrounds, talent, and perspectives&lt;/li&gt;
&lt;li&gt;Collaboration – working with all team members, and across teams, to integrate perspectives and encourage contributions&lt;/li&gt;
&lt;li&gt;Adaptability – quickly applying feedback and circumstances to team priorities&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What You&#x27;ll Need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;An advanced degree (MS or PhD) in Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or equivalent quantitative fields such as Engineering, Computer Science with a background in both time series and machine learning professional experience&lt;/li&gt;
&lt;li&gt;2-5 years industry data scientist experience&lt;/li&gt;
&lt;li&gt;Experience building production-quality data science models including Classification, Clustering, Regression, and time series techniques and advanced Machine Learning models&lt;/li&gt;
&lt;li&gt;Solid understanding and experience in database technologies and SQL mastery&lt;/li&gt;
&lt;li&gt;Proficiency in Python and environments such as Jupyter/PyCharm/Anaconda&lt;/li&gt;
&lt;li&gt;Proficiency in Python packages: numpy, pandas, matplotlib, seaborn, scipy, scikit-learn&lt;/li&gt;
&lt;li&gt;Proficiency in data visualization tools and packages&lt;/li&gt;
&lt;li&gt;Excellent grasp of advanced statistical concepts and methods&lt;/li&gt;
&lt;li&gt;Ability to understand and apply advanced mathematics&lt;/li&gt;
&lt;li&gt;Must have hands-on experience with time series analysis&lt;/li&gt;
&lt;li&gt;Familiarity with the end-to-end data science pipeline and workflow&lt;/li&gt;
&lt;li&gt;Demonstrated analytical and problem-solving skills&lt;/li&gt;
&lt;li&gt;Ability to own and deliver projects&lt;/li&gt;
&lt;li&gt;Ability to see the big picture and the demonstration of strong business intuition&lt;/li&gt;
&lt;li&gt;Ability to translate complex data sets and research into simple business recommendations&lt;/li&gt;
&lt;li&gt;Ability to compile information into unified reports&lt;/li&gt;
&lt;li&gt;Ability to manage multiple projects&lt;/li&gt;
&lt;li&gt;Ability to use version control and collaborative programming tools (Git, Confluence, etc.)&lt;/li&gt;
&lt;li&gt;Ability to effectively operate both independently and as part of a team&lt;/li&gt;
&lt;li&gt;Excellent verbal and written communication skills&lt;/li&gt;
&lt;li&gt;Position may require travel&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience in object-oriented programming with Python&lt;/li&gt;
&lt;li&gt;Experience in R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker&lt;/li&gt;
&lt;li&gt;Experience with data visualization tools and packages (Tableau or similar)&lt;/li&gt;
&lt;li&gt;Experience in Advanced Excel, VBA Macros&lt;/li&gt;
&lt;li&gt;Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms&lt;/li&gt;
&lt;li&gt;Experience and application of optimization techniques such as linear programming or meta-heuristics&lt;/li&gt;
&lt;li&gt;Experience with A/B test design, implementation, and evaluation&lt;/li&gt;
&lt;li&gt;Experience with deep-learning technologies&lt;/li&gt;
&lt;li&gt;Experience working in Agile Development model with incrementally changing requirements&lt;/li&gt;
&lt;li&gt;Self-motivated with strong problem-solving and self-learning skills&lt;/li&gt;
&lt;li&gt;Flexible with respect to changes in work direction as the project develops&lt;/li&gt;
&lt;li&gt;Strong advocate of a culture of process and data quality in all development team&lt;/li&gt;
&lt;li&gt;E-com, Retail or startup experience is a plus&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Data Scientist, Forecasting

&lt;section class=&quot;job-description&quot; data-ph-id=&quot;ph-page-element-page21-X5O421&quot;&gt;
&lt;div class=&quot;jd-info au-target&quot; data-ph-at-id=&quot;jobdescription-text&quot; data-ph-id=&quot;ph-page-element-page21-3TYhvo&quot;&gt;
&lt;p&gt;Associate Data Scientist – Network Topology&lt;/p&gt;
&lt;p&gt;Our Opportunity:&lt;/p&gt;
&lt;p&gt;Chewy is seeking a highly motivated, goal-oriented, dedicated Associate Data Scientist to join the growing Network Topology team in Seattle, WA. Combining a background in Supply Chain with a deep understanding of network optimization, you will be at the forefront of deciding where, when, and how to expand our network footprint to support Chewy’s long term growth trajectory. 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;What you&#x27;ll do:&lt;/p&gt;
&lt;p&gt;· Develop a robust network optimization model to solve for customer experience, capacity, and cost to determine where, when, and how to grow our fulfillment network over a multi-year horizon.&lt;/p&gt;
&lt;p&gt;· Stress test and simulate network scenarios to understand potential risks and shortfalls in each network strategy.&lt;/p&gt;
&lt;p&gt;· Optimize our current inventory placement strategy within the confines of our existing network to support faster delivery while reducing the outbound cost in our Supply Chain.&lt;/p&gt;
&lt;p&gt;· Partner with product managers, engineers, and key stakeholders to deploy in house tools and systems.&lt;/p&gt;
&lt;p&gt;What you&#x27;ll need:&lt;/p&gt;
&lt;p&gt;· Bachelor’s degree with 3+ years, Masters with 1+ years of relevant exp. in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science, or related field.&lt;/p&gt;
&lt;p&gt;· Experience of solving large scale network optimization problems.&lt;/p&gt;
&lt;p&gt;· Understanding of Supply Chain concepts including capacity planning, inbound and outbound optimization, and inventory placement.&lt;/p&gt;
&lt;p&gt;· Experience working with Machine Learning/Deep Learning for real world problems.&lt;/p&gt;
&lt;p&gt;· Python or R mastery.&lt;/p&gt;
&lt;p&gt;· Excellent written and verbal communication skills and an ability to explain complex mathematical concepts to non-technical stakeholders.&lt;/p&gt;
&lt;p&gt;Bonus:&lt;/p&gt;
&lt;p&gt;· E-com, Retail, or startup experience is a plus&lt;/p&gt;
&lt;p&gt;· Demonstrated ability to deal with ambiguity, prioritizing needs, and deliver results in a dynamic environment&lt;/p&gt;
&lt;div class=&quot;content-conclusion&quot;&gt;
&lt;h4&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&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&amp;nbsp;&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;/div&gt;
&lt;/section&gt;
&lt;section class=&quot;ph-widget-dummy ph-dummy-widget&quot; data-ph-id=&quot;ph-page-element-page21-Q4XmGs&quot;&gt;&lt;/section&gt;
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&lt;div class=&quot;phs-widget-block-area ph-widget-box&quot; data-ph-id=&quot;ph-page-element-page21-COb4Hf&quot;&gt;&amp;nbsp;&lt;/div&gt;
&lt;/div&gt;
&lt;/section&gt;
&lt;/div&gt;
&lt;/section&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;

Assoc Data Scientist, Network Toplogy

&lt;p&gt;&lt;strong&gt;Data Scientist – Network Topology&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is seeking a highly motivated, goal-oriented, dedicated Data Scientist&lt;strong&gt; &lt;/strong&gt;to join the growing Network Topology team in Seattle, WA. Combining a background in Supply Chain with a deep understanding of network optimization, you will be at the forefront of deciding where, when, and how to expand our network footprint to support Chewy’s long term growth trajectory. 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;Develop a robust network optimization model to solve for customer experience, capacity, and cost to determine where, when, and how to grow our fulfillment network over a multi-year horizon.&lt;/li&gt;
&lt;li&gt;Stress test and simulate network scenarios to understand potential risks and shortfalls in each network strategy.&lt;/li&gt;
&lt;li&gt;Optimize our current inventory placement strategy within the confines of our existing network to support faster delivery while reducing the outbound cost in our Supply Chain.&lt;/li&gt;
&lt;li&gt;Partner with product managers, engineers, and key stakeholders to deploy in house tools and systems.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What you&#x27;ll need:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;An advanced degree (M.S, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science, or related field.&lt;/li&gt;
&lt;li&gt;5+ years&#x27; experience solving large scale network optimization problems.&lt;/li&gt;
&lt;li&gt;Deep understanding of Supply Chain concepts including capacity planning, inbound and outbound optimization, and inventory placement.&lt;/li&gt;
&lt;li&gt;Experience working with Machine Learning/Deep Learning for real world problems.&lt;/li&gt;
&lt;li&gt;Python or R mastery.&lt;/li&gt;
&lt;li&gt;Exceptional written and verbal communication skills and an ability to explain complex mathematical concepts to non-technical stakeholders.&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;E-com, Retail, or startup experience is a plus&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;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Data Scientist, Network Topology

&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;&amp;nbsp;for our Marketing Science &amp;amp; Operations team in one of our three campuses in Dania Beach, FL, Boston, MA, 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;&lt;span data-preserver-spaces=&quot;true&quot;&gt;We are looking for a Principal Data Scientist to join the Marketing Science team at Chewy. The marketing team uses business economics, statistics, and machine learning to understand and serve the needs of our pet parents. We are an interdisciplinary team of scientists and engineers committed to solving business problems using cutting-edge technologies and developing data-driven marketing solutions. This senior position will have exposure across the entire business, influencing the vision and implementation of marketing strategies for customer acquisition and development and marketing measurement.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;As part of the growing data science team within the broader Marketing Product, Science, and Tech team at Chewy, you will have the opportunity to provide structure to the business problems for all things marketing and existing Chewy customers. The role will span many areas, including modeling the customer lifecycle (Acquisition, Retention, Reactivation), measurement using advanced causal inference techniques, and business economics (Spend Optimization, Budgeting, and Planning). As a senior team member, you will have the opportunity to develop the frameworks and roadmaps to solve these problems efficiently, work with the stakeholders to align on priorities and work within the team to build the best-fitted data-driven solutions. These solutions will include (but will not be limited to) using statistical techniques to design experiments, measuring the long-term impact of those experiments, developing state-of-the-art ML-driven solutions, building optimization frameworks, etc.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;In this role, you will also closely work with the team of data engineers, product management, and software developers to build the backend for ML frameworks and automate those solutions.&amp;nbsp;&lt;/span&gt;&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;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Be a technical and thought leader among your data science and engineering colleagues to drive the best practices in developing, testing, and producing models at scale.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Establish strong working relationships at all organizational levels across different functional teams.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Focusing on the incrementality and the value-creation in everything you do, you will closely work with the marketing and merch category teams (Consumables, Hardgoods, Healthcare, etc.). 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.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;For such transformations, you will guide the teams with the design of experiments, measurements, analyses, and recommendations. 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 techniques with simulations.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;You will lead efforts in media mix modeling, cross-channel spend optimization, multi-touch attribution, propensity, net lift, causal inference, structural equation modeling, etc. For such models, you will be responsible for the entire Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;You will ideate, architect, and build the technical platforms for our algorithmic engines, such as Targeting, Spend, and Product Optimization.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&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;/span&gt;&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;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Graduate degree (MS/Ph.D.) in Computer Science, Economics, Statistics, Mathematics, Engineering, or highly related quantitative discipline with 7+ (8 for MS) years of working experience in the industry, consulting, or agency&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Demonstrated knowledge and hands-on expertise in causal inference.&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;In addition to model development, experience in managing the model life cycle and partnering with the ML engineering and product teams to scale the efforts.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Proven experience in the design and execution of analytical projects through structural thinking in ambiguous problem spaces&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Working knowledge of AWS data toolset (Glue, Athena, Sagemaker, Redshift, etc.) or similar cloud computing provider (Azure, Google).&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Excellent verbal and written communication skills. Able to explain details of complex concepts to non-expert stakeholders in a simple, understandable way&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Preferably experience of working in cross-channel spend optimization, budgeting, marketing attribution, CRM data science, and LTV management.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-preserver-spaces=&quot;true&quot;&gt;Preferably experience of working in the e-commerce industry&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4 style=&quot;text-align: justify;&quot;&gt;Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4 style=&quot;text-align: justify;&quot;&gt;If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact &lt;a href=&quot;mailto:HR@chewy.com&quot; target=&quot;_blank&quot;&gt;HR@chewy.com&lt;/a&gt;.&amp;nbsp;&lt;u&gt;&lt;/u&gt;&lt;/h4&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;h4&gt;To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:&amp;nbsp;&lt;a href=&quot;https://www.chewy.com/app/content/privacy&quot;&gt;https://www.chewy.com/app/content/privacy&lt;/a&gt;).&lt;/h4&gt;&lt;/div&gt;

Principal Data Scientist - Marketing Science

&lt;p&gt;&lt;strong&gt;Our Opportunity:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Chewy is seeking a highly motivated, goal-oriented, and analytical,&amp;nbsp;&lt;strong&gt;Senior&lt;/strong&gt; &lt;strong&gt;Data Scientist&lt;/strong&gt;&amp;nbsp;to join our exciting and fast paced company. Our team is growing and if you are equally passionate about data analysis, e-commerce, and career growth, an opportunity at Chewy may be a great match! You will be focused on solving business problems by developing and implementing best-in-class Promotions/Deal models. As a Data Scientist you&#x27;ll work to optimize and improve promotion effectiveness at Chewy. You&#x27;ll translate business needs into numbers that support data-driven decision making by developing, organizing, and launching experiments and projects.&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;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Drive promotions optimization and measurement, with focus on placement, segmentation, and messaging&lt;/li&gt;
&lt;li&gt;Drive segmentation analyses and propensity modeling to identify right promotion content for customers segments&lt;/li&gt;
&lt;li&gt;Develop machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets; partner with Cloud technologists to ensure proper implementation and usage of said algorithms&lt;/li&gt;
&lt;li&gt;Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data&lt;/li&gt;
&lt;li&gt;#OperateAtDepth - Ideate, brainstorm and drive projects from conception to completion&lt;/li&gt;
&lt;li&gt;Conduct exploratory data analysis, supervised, unsupervised and semi-supervised machine learning to identify fraud trend, segment and clusters, and optimization opportunity&lt;/li&gt;
&lt;li&gt;Lead identification of trends and KPI’s with the objective of optimize and improve promotion effectiveness&lt;/li&gt;
&lt;li&gt;Mentor junior data analysts and demonstrate Data Science and development best practices&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What you’ll need&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;An M.S., P.H.D., or equivalent experience in a related discipline (Engineering, Mathematics, Physics, Finance or C.S.)&lt;/li&gt;
&lt;li&gt;Experience in Python, R, or other Data Science object-oriented programming language&lt;/li&gt;
&lt;li&gt;Experience with applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering)&lt;/li&gt;
&lt;li&gt;5+ years of experience applying Machine Learning, Statistical Modeling, and Data Mining.&lt;/li&gt;
&lt;li&gt;&amp;nbsp;2+ Experience working in an e-commerce or other direct to consumer business&lt;/li&gt;
&lt;li&gt;Experience in anomaly detection algorithms including Regressions, Random Forrest, GBMs, Support Vector Machines, KNNs, Neural Nets and Social Network Link analysis.&lt;/li&gt;
&lt;li&gt;Experience with SQL, NoSQL, and unstructured databases (MySQL, Hadoop, Redshift, MongoDB)&lt;/li&gt;
&lt;li&gt;Applied data science techniques, data management and advanced analytic techniques while doing fraud analysis/anomaly detection.&lt;/li&gt;
&lt;li&gt;Hands on experience with software design for scalability, reliability, and performance&lt;/li&gt;
&lt;li&gt;Proven track record in developing mathematical models to predict business outcomes and determine cause and effect relationships&lt;/li&gt;
&lt;li&gt;Candidate must be organized, driven, and exhibit critical thinking skills.&lt;/li&gt;
&lt;li&gt;Candidate must have an entrepreneurial and self-starting mentality.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience working in Agile teams (Scrum, Kanban)&lt;/li&gt;
&lt;li&gt;Experience in working in eCommerce business.&lt;/li&gt;
&lt;li&gt;Knowledge of / experience with multi-channel and cross-channel attribution.&lt;/li&gt;
&lt;li&gt;Extensive CLI and UNIX experience – we live in the terminal!&lt;/li&gt;
&lt;/ul&gt;&lt;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;

IT Data Scientist

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