Are you excited about using econometrics, experimentation, and machine learning to impact real-world business decisions? We are looking for an Economist II to work on challenging problems at the intersection of causal inference and machine learning for Prime Video Ads. You will design experiments, build econometric and ML models, and translate findings into decisions that shape how millions of customers experience advertising on Prime Video.
If you have a deeply quantitative approach to problem-solving, enjoy building and implementing models end-to-end, and want to work on problems where rigorous economics meets production-scale ML, we want to talk to you.
Key job responsibilities
- Design, execute, and analyze experiments to measure the impact of ad policies on customer behavior and business outcomes
- Develop causal inference models (experimental and observational) to estimate short- and long-term effects of strategic initiatives
- Collaborate with scientists, engineers, and product teams to deliver measurable business impact
- Influence business leaders based on empirical findings
Basic Qualifications
- PhD in Economics, Statistics, or a related quantitative field
- 2+ years of post-PhD work experience, ideally in industry
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Proficiency in Python, R, or similar
Preferred Qualifications
- Experience with heterogeneous treatment effect estimation (causal forests, meta-learners, or similar)
- Familiarity with structural demand models or discrete choice frameworks
- Track record of translating research into business decisions in an industry setting
- Experience with experimentation platforms or A/B testing at scale
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