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Economist, Customer Experience and Business Trends

Amazon

Arlington, VAJob$129–175K/yrSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$129–175K/yr
Location
Arlington, VA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Amazon’s Customer Experience and Business Trends organization is seeking an Economist for its Benchmarking Economics Analytics and Measurement team. The role develops economic theory and causal machine learning models, collaborates across business and technical teams, and communicates research through business narratives and scientific papers. Its work supports data-driven decisions and customer experience improvements across Amazon’s businesses.

Skills & qualifications

RequiredNice to have

Skills

Data Analysis LanguagesRStataPythonStatistical SoftwareSQL

Qualifications

PhD in Economics or EquivalentPostdoctoral ExperienceConsulting ExperienceGovernment ExperienceAcademic Research Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Description

Are you passionate about leveraging data and economics to enhance customer experience across Amazon's diverse businesses? The Customer Experience and Business Trends (CXBT) organization is seeking an Economist to join our Benchmarking Economics Analytics and Measurement (BEAM) team. Our mission is to drive customer experience improvements through innovative economic modeling, advanced analytics, and scalable scientific solutions.

As an Economist on our team, you will collaborate with senior management, business stakeholders, scientists, engineers, and economics leadership to solve complex business challenges across Amazon's business lines. You'll develop sophisticated econometric models using our world-class data systems, applying diverse methodologies spanning causal inference, machine learning, and generative AI. In this fast-paced environment, you'll tackle challenging problems that directly influence strategic decision-making and drive measurable business impact.

Key job responsibilities

  1. Develop economic theory and deliver causal machine learning models at scale

  2. Collaborate with cross-functional teams to translate research into scalable solutions

  3. Write effective business narratives and scientific papers to communicate to both business and technical audiences

  4. Drive data-driven decision making to improve customer experience

About the team

Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).

Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds – including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.

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 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, VA, Arlington - 129,200.00 - 174,700.00 USD annually

USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually

How this job compares

Set against the 2,005 open Data Science jobs on Olive Jobs, counted October 31, 2026.

Pay
  • This posting$129–175K/yr
  • Virginia median$157–225K/yr68 salary ranges
  • US median$138–240K/yr1,484 salary ranges

This range's midpoint, $152K, is 20% below the Virginia median midpoint ($191K) — in the middle half of Data Science salary ranges in Virginia.

Openings
Olive Jobs lists 83 open Data Science jobs in Virginia and 2,005 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 10 years (1,616 postings).
Education
944 of the 2,005 open Data Science jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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