senior Data Scientist tech_leadership Bachelor's · Posted Jul 6, 2026
$276,100 – $350,000
USD per year

About this role

Amazon is hiring a senior-level Data Scientist based in Seattle, WA. The posting calls out experience with Python, R, NLP, Computer Vision. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $276,100–$350,000 per year.

Role
Data Scientist
Function
data engineering
Level
senior
Track
Tech leadership
Employment
Full-time
Location
Seattle, WA
Work mode
On-site
Education
Bachelor's degree
Department
Applied Science
Posted
Jul 6, 2026
AI Summary
Senior Data Scientist leading economic and ML modeling for Amazon's marketplace. Owns scientific model development, manages data analysis and experimentation, and translates findings into business impact. Requires applied economic analysis expertise, ML knowledge, and ability to collaborate across business and technical teams.

Job description

from Amazon careers
We are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.

At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.

About the team
The Stores Economics and Science (SEAS) organization uses economics, statistics, and machine learning to understand and design the complex economy of Amazon’s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. Our team is composed in equal parts of software engineers and scientists trained in diverse fields including ML, robotics, computer vision (CV), natural language processing (NLP), distributed systems and econometrics.

Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems, incubating products with high AI research risk, reducing friction and manual effort with AI tooling, and raising the scientific bar across all teams at Amazon.

Basic Qualifications

- PhD in Economics, Computer Science, Operations Research or highly related field (Physics, Statistics, Mathematics).
- Experience in industry, consulting, government, or academic research.
- Coding ability in a scripting language such as R, Python, Matlab, or STATA.

Preferred Qualifications

- Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
- Applicants with considerably more and broader, experience are also strongly encouraged.
- Strong track record in performing high-quality analysis of data at scale.

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.

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, Palo Alto - 276,100.00 - 350,000.00 USD annually
USA, WA, Seattle - 240,100.00 - 324,800.00 USD annually

More roles at Amazon

Applied Scientist II, Machine Learning Accelerator - Annapurna Labs
Austin, TX · mid
Python Java Linux
FLS Manufacturing Engineer, Amazon Leo
Kirkland, WA · mid
Linux System Design
Area Maintenance Manager
Greenfield, IN · manager
Automation
Area Maintenance Manager
San Marcos, TX · manager
Automation
Certified Pharmacy Technician, Amazon Pharmacy
Orlando, FL · mid
All Amazon jobs →
All data engineering jobs data engineering in Seattle, WA Jobs in Seattle, WA data engineering salaries data engineering career path
All Amazon Jobs Browse data engineering roles senior positions