Senior Manager, Economist, AWS Central Econ and Science

We are hiring a Senior economist 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.

Key job responsibilities

This role with interface directly with executives, product owners and science ICs and leadership to create multi-year research agendas that drive step change growth for the business. This role is important for 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 org. The role will also be an important collaborator with other science teams at AWS.

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. Burn out 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?

BASIC QUALIFICATIONS

- PhD in economics or equivalent

- 3+ years of post PhD experience experience

PREFERRED QUALIFICATIONS

- 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 https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $157,600/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

---