What You’ll Do:

• Build econometric models, conduct statistical/machine learning 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 forecasting models using time series techniques
• 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 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
• 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)
• 3+ 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, forecasting, panel data, high dimensional problems, statistical inference, etc.), 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) or other statistical software
• Hands-on experience with causal estimation using reduced form models, the design of randomized experiments, and demand estimation
• 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 macroeconomic data providers and analysis tools is preferred (e.g., Moody’s Analytics, Bloomberg, Haver, IHS 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

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 [email protected]. 
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