Staff Data Scientist, Statistics

Our Opportunity:We are looking for a Staff Data Scientist or Staff Statistician or Staff Economist with a background in econometric modelling and statistical testing to join the Merchandising Systems and Services Data Science team at Chewy in Minneapolis, MN. 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. As part of the growing data science team within Merchandising Systems and Services at Chewy, you will have the opportunity to lay the groundwork for our testing and experimentation function within the team. The problems will range across various applications such as pricing and merchandising. For these business problems, you will lead/establish best practices and establish standards and tenets for statistical testing across Chewy. You will then have the opportunity to put this into practices by scaling up our testing capabilities across the Merchandising Systems and Services org and evangelize these newly created capabilities across all of this role, you will have the opportunity to operate or lead as a full-stack data scientist. In that capacity, you will have the opportunity to design and develop the backend statistical frameworks best suited for different business problems, build engineering pipelines to streamline the model development process and launch the decision engines that would help automate the ML-powered business solutions. For such efforts, you will closely work with the data science, ML Operations, analytics, and data engineering teams focused on Pricing and Merchandising problem spaces. What You''ll Do:Focusing on the incrementality and the value-creation in everything you do, you will closely work with the stakeholders within the merch category teams (Consumables, Hardgoods, Healthcare, etc.), pricing and data science teams. You will transform their ideas, preliminary findings, or analyses, whenever applicable, into statistically significant outcomes help drive the core objectives For such transformations, you will guide the teams with the design of experiments, measurement, analyses, recommendations, or all. As a data scientist, you will be responsible for making recommendations for experimentation and measurement by researching state-of-art methods, examining, and tuning the current methods with simulations, and build an internal testing platform to automate test launch and enable a broader audience to be able to conduct statistical tests. Also, you will use causal inference methods to bring precision and speed in the decision-making processYou 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 problemsYou will ideate, architect, and build the technical platforms for our Statistical Testing engine which will become the platform at which we launch all statistical tests across all of ChewyYou 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.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.)What You''ll Need:Graduate degree (MS/PhD) in Data Science, Machine Learning, Economics, Statistics, Mathematics, Engineering or related discipline10+ years of professional experience in data science, statistics and/or applied economicsDemonstrated leadership and expertise in the area of statistical testing with multiple years leading and growing statistical testing capabilities for a companyDemonstrated practical knowledge in the areas of machine learning, deep learning, experimentation and testingAdvanced proficiency in coding and data analysis using Python or RAdvanced proficiency with SQLProven experience in the design and execution of analytical projects.Working knowledge of AWS data toolset (Glue, Athena, Sagemaker, Redshift, etc.)Experience of translating ambiguous customer requirements into clear problem definitions and delivering themExcellent verbal and written communication skills. Able to explain details of complex concepts to non-expert stakeholders in a simple understandable wayPreferably experience of working in the e-commerce industryTravel may be required Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. 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 [Click Here to Email Your Resumé]. To access Chewys Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here:

Created: 2025-11-15