Responsibilities

• Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions
• Disambiguate problems to propose clear evaluation frameworks and success criteria
• Work autonomously and write high quality technical documents
• Partner closely with other scientists to deliver large, multi-faceted technical projects
• Share and publish works with the broader scientific community through meetings and conferences
• Communicate clearly to both technical and non-technical audiences and leaders
• Contribute new ideas that shape the direction of the team's work
• Mentor more junior scientists and participate in the hiring process

Requirements

• PhD in economics or equivalent

Preferred

• 2+ years of industry, consulting, government, or academic research experience
• Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
• Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)
• Experience in any of the following areas of applied economics (multiple areas preferred): reduced-form causal analysis, predictive modeling and causal ML algorithms, forecasting, hazard models, health and insurance economics, education economics, labor economics, and behavioral economics, designing and administering large-scale social science survey
• Knowledge of and proficiency in the use of Python scripting language
• Experience in the advertising industry or closely related problems.

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.