Senior Manager, Economics, AWS Central Economics and Science
We are hiring a Senior Manager, Economics who is excited about leading a team that develops and implements frontier causal inference for Amazon Web Services (AWS). The problem space includes program evaluation, experimental platform design in non-standard settings, and identification in two and multi-sided markets. Almost all inference problems are part of larger structural relationships with ambiguity so strong applied theory is also key to this position. This role will source and execute new workstreams in ambiguous problem spaces.
Key job responsibilities
This role will interface directly with executives, product owners, science ICs, and leadership to create multi-year research agendas that drive step change growth for the business. This role is important for the development of the strategic direction of the AWS Central Economics and Science team. This role will report directly to the Chief Economist of AWS and help develop and implement science best practices for the team in collaborative partnership with other scientists, economists, and engineers in the organization. The role will also be an important collaborator with other science teams at AWS, especially those working on productivity and seller resource allocation.
A day in the life
Our team takes big swings and works on hard cross-organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high-stakes cases. Burnout isn’t a successful long-run strategy. Because we invest in the long-run success of our group, it’s important to have hobbies, relax, and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual, and thus career advancement.
About the team
Our group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication-centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?
Minimum Requirements
- PhD in economics or equivalent
- 5+ years of post-PhD experience
- Experience in applied economic analysis and with big data and machine learning or data science
- Experience building and growing teams of economists or machine learning scientists
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit here .
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