Senior Economist, International Seller Services
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $159,200 to $215,300
Employer-published annual base salary, USD. Advertised base range in Seattle, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSeattle, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
Join Amazon's International Seller Services (ISS) Economics team and shape how millions of sellers succeed in the worldwide marketplace through causal inference, LLMs, and generative AI. You'll combine rigorous economic methods with real business impact, building the frameworks and measurement systems that define the future of Amazon's seller services.
Key job responsibilities
In this role, you will be a people manager and a technical leader in Econometric research with significant scope, impact, and high visibility. You will own developing the economics charter in ISS combining scientific methods with business needs. Your solution will deliver to business leaders accurate and actionable insights and recommendations to optimize and expand their business.
As a successful Science Manager, you can navigate ambiguity, lead problem solving, guide development of new frameworks, and credibly interface between technical teams and business stakeholders. You are an innovator who can push the limits on what’s scientifically possible with a razor sharp focus on measurable business impact.
You will coach and guide scientists in your team across different job families including Economists, Data Scientists and Applied Scientists to grow the team’s talent and scale the impact of your work.
About the team
The International Seller Services (ISS) Economics team shapes Amazon's global seller ecosystem through sophisticated economic analysis and data-driven insights. Our mission is to transform how Amazon empowers millions of sellers to succeed in the worldwide digital marketplace.
Basic Qualifications
- PhD in economics or equivalent
Preferred Qualifications
- Experience in analytics and applied economics
- Experience in building statistical models using R, Python, STATA, or a related software
- Experience in applied economic analysis and with big data and machine learning or data science
- Experience building and growing teams of economists or machine learning scientists
- 5+ years of people management experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience with scripting language (e.g., Python, Java, or R)
- 7+ years of applied economics or statistics experience
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, WA, Seattle - 159,200.00 - 215,300.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($159,200) is above 58% of the 355 Data & ML roles in Washington listed on this site; 5 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $169,050.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingSenior Economist, International Seller Services$159,200 to $215,300
Network Dev Engineer III - AMZ9765570$159,890 to $184,000
Data Engineer II - AMZ27757.1$160,113 to $196,600
Manager III, Plan/Dev - AMZ23026.12$160,118 to $193,200
Sr Mgr, Vendor Management, Global Outsourcing$160,300 to $216,800
Data Engineer III - AMZ10455847$160,472 to $188,200
Tech Ops Engineer II - AMZ9971307$160,493 to $210,800
Chart as a table
| Role | Published base |
|---|---|
| Senior Economist, International Seller Services (this listing) | $159,200 - $215,300 |
| Network Dev Engineer III - AMZ9765570 | $159,890 - $184,000 |
| Data Engineer II - AMZ27757.1 | $160,113 - $196,600 |
| Manager III, Plan/Dev - AMZ23026.12 | $160,118 - $193,200 |
| Sr Mgr, Vendor Management, Global Outsourcing | $160,300 - $216,800 |
| Data Engineer III - AMZ10455847 | $160,472 - $188,200 |
| Tech Ops Engineer II - AMZ9971307 | $160,493 - $210,800 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-07-01
Where this pay comes from
Location as the employer wrote it: US, WA, Seattle
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.