Economist, Profitability Science Profit Intelligence

Amazon • Seattle, WA

12d

About The Position

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.

Requirements

• PhD in economics or equivalent
• Knowledge of and proficiency in the use of Python scripting language

Nice To Haves

• 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

Responsibilities

• 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.
• 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree