Economist, Profitability Science Profit Intelligence

Overview

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 II 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.

• A successful candidate will have demonstrated a capacity for building, estimating, and defending statistical models (e.g., causal, counterfactual, 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, world-wide impact on Amazon e-commerce business.

• Basic Qualifications
• PhD in economics or equivalent
• Knowledge of and proficiency in the use of Python scripting language
• Preferred Qualifications
• 2+ years of industry, consulting, government, or academic research experience
• Experience in prediction and forecasting in a research or industrial environment
• Experience with handling of large datasets
• Knowledge of Python or R

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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The base salary range for this position is listed below. 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. 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.

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USA, WA, Seattle -  -  USD annually