Economist I, AWS Central Economics and ScienceJob ID: 2858938 | Amazon Web Services, Inc.
We are hiring an Economist with the ability to disambiguate very challenging structural problems in two and multi-sided markets.
The right hire will be able to get dirty with the data to come up with stylized facts, build reduced form models that motivate structural assumptions, and build to more complex structural models.
The main use case will be understanding the incremental effects of subsidies to a two-sided market related to sales motions characterized by principal-agent problems.
Key job responsibilitiesThis role will interface directly with product owners, scientists/economists, and leadership to create multi-year research agendas that drive step change growth for the business.
The role will also be an important collaborator with other science teams at AWS.
A day in the lifeOur 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 teamOur 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?
BASIC QUALIFICATIONS- PhD in economics or equivalent
PREFERRED QUALIFICATIONS- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.)
or other statistical software
- Experience in a postdoctoral position, consulting position, government position or academic research
- Experience with SQL
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.
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