Economist, Profitability Science Profit Intelligence
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Job ID: 3206133 | Services LLC
Profit Intelligence (PI) team in Amazon, owning Amazon's core profitability prediction system, is looking for an ambitious Economist to build the next generation of profitability science for Amazon.
As an Economist in PI, you will partner closely with senior management, business stakeholders, applied scientists and engineers, and economist leadership to solve key business problems that are at the core of economic prediction and cost optimization for Amazon, empowering downstream teams to make high‑velocity, high‑quality profitability decisions for both short term and long term. You will utilize massive data, state‑of‑the‑art scientific computing, econometrics, time‑series forecasting, and machine‑learning, etc. to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, business analysts, data engineers, product managers, and software engineers.
The team is unique in its exposure to company‑wide strategies, and operates at the research frontier of utilizing data, econometrics, artificial intelligence, and machine‑learning to inform business profitability strategies.
Key Job Responsibilities
A successful candidate will have demonstrated a capacity for building, estimating, and defending statistical models (e.g., time‑series, machine‑learning) using software such as R and Python. They will have a willingness to learn and apply a broad set of statistical and computational techniques to supplement deep‑training in one area of econometrics.
For example, many applications on the team rely on building scalable production software at Amazon data scale, which involves a broad set of world‑class software‑building skills often learned on‑the‑job. As a consequence, already‑obtained knowledge of SQL, Python, machine learning, and large‑scale scientific computing using distributed computing infrastructures such as Spark‑Scala or PySpark would be a plus.
Additionally, this candidate will show a track record of delivering projects well and on‑time, preferably in collaboration with other team members (e.g. co‑authors). Candidates must have advanced experience writing and emotional intelligence skills (for collaborative teamwork, often with colleagues in different functional roles), a growth mindset, and a capacity for dealing with a high level of ambiguity. Endowed with these traits and on‑the‑job growth, the role will provide the opportunity to have a large strategic, worldwide impact on Amazon e‑commerce business.
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is USA, WA, Seattle - 129,2 ,700.00 USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. xjrgpwk 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. Learn more about our benefits at J-18808-Ljbffr