Our Opportunity:

We are looking for a Sr. Economist 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. 

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. 

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. 

What You’ll Do:

• Build econometric models, conduct statistical analyses, or design experiments to measure the value of the business and its many features incorporating feedback from internal customers, scientists and business leaders
• Develop Customer Lifetime Value models
• Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model
• Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling
• Design and develop rigorous models to assess the causal impact of macroeconomic/microeconomic parameters on customers behavior, suppliers network and business performance
• Design and conduct experiments to validate theories and improve understanding of Chewy’s ecosystem of suppliers and customers
• Conduct market analyses (market shares, penetration, competitive analysis, customer profile) leveraging external data sources
• Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders
• Independently identify new opportunities for leveraging economic insights and models in Chewy’s business
• Write technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific background
• Review and audit modeling processes and results for other scientists, both junior and senior
• Lead the project plan from a scientific perspective on small to medium product launches including identifying potential risks, key milestones, and paths to mitigate risks
• Set and balance goals across the team to optimize performance against department goals

What You’ll Need:

• PhD in Economics or related quantitative field (finance, quantitative marketing or similar)
• 2+ years of experience in either a postdoctoral position, consulting, government, industry or academic research
• Expert knowledge and practical experience of econometrics concepts (time series models, panel data, high dimensional problems, statistical inference, etc.), causal inference in reduced form (synthetic control methods, difference in differences or other experimental design technique), economic theory, and quantitative methods
• Excellent written and verbal communication skills
• Proven track record of applying econometric techniques to real business problems
• Fluency in data analysis languages (e.g., R or Python are preferred)
• Experience with large data sets, big data, and analytics
• Fluency in data querying languages (e.g. SQL)
• Keen judgment for balancing research depth and pacing
• Ability to deal with ambiguity
• Experience with major data providers and analysis tools is preferred (e.g., Nielsen, IRI or similar)
• Ability to work effectively within an interdisciplinary science team of economists, applied scientists, software engineers, and data engineers

Bonus:

• Familiar with cloud data and computing tools such as AWS, GCP, Azure or similar
• AWS Certified Developer/AWS Machine Learning
• Tableau Dashboarding
• E-com, Retail or startup experience is a plus

#LI-RK1

Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
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