Economist, Profitability Science Profit Intelligence
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Key job 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.
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.
- PhD in economics or equivalent
- Knowledge of and proficiency in the use of Python scripting language
- 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.
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 youre applying in isnt listed please contact your Recruiting Partner.
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. Learn more about our benefits at WA Seattle - 136000.00 - 184000.00 USD annually
Required Experience:
IC
Key Skills
- Forecasting
- Python
- Spss
- R
- Regression Analysis
- Stata
- Research Experience
- Statistical Software
- Survey Design
- Calculus
- SAS
- Statistics
About Company
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