Senior Economist, PXT Central Science

Amazon

Seattle (WA)

On-site

USD 159,000 - 215,000

Full time

21 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
RSUs

Job summary

Amazon's Central Science Team within PXTCS seeks a Senior Economist to structure complex business problems into scientific questions, estimate models on large-scale data, and design pilots that scale solutions across the company.

The ideal candidate has a PhD in Economics, deep expertise in causal inference and applied econometrics, proficiency in Python, and comfort with operating in ambiguity while influencing decisions through rigorous analysis.

Qualifications

  • PhD in economics or equivalent.
  • Experience with causal inference and applied econometrics.
  • Proficiency in Python; familiarity with ML methods.
  • Ability to lead researchers across teams and communicate findings.

Responsibilities

  • Lead teams of researchers to produce robust, objective research results.
  • Structure complex business problems into scientific questions and test them.
  • Estimate models and algorithms on large-scale data and design pilots.
  • Communicate insights to diverse audiences inside and outside Amazon.

Skills

Causal inference
Applied econometrics
Large-scale data
Statistical programming
Machine learning familiarity

Education

PhD in Economics

Tools

Python
R
STATA

Job description

Description

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

We are looking for a Senior Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations, and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. They will lead teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon.

The ideal candidate has a PhD in Economics and deep expertise in causal inference and applied econometrics. Experience with large-scale data, proficiency in statistical programming (Python), and familiarity with machine learning methods are a plus. To be successful in this role, you should be comfortable operating with ambiguity, able to independently scope and prioritize research agendas, skilled at influencing decisions through rigorous analysis, and comfortable with using AI tools.

Basic Qualifications
  • PhD in economics or equivalent
Preferred Qualifications
  • Experience in analytics and applied economics
  • Experience in developing and executing an analytic vision to solve business-relevant problems
  • Experience in building statistical models using R, Python, STATA, or a related software
  • Experience in industry, consulting, government or academic research

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 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 https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 183,000.00 - 247,600.00 USD annually

USA, MA, - 159,200.00 - 215,300.00 USD annually

USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually

USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

Company - Amazon.com Services LLC

Job ID: A10510024

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