Data Scientist III
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 Bellevue, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationBellevue, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (5 h ago) · observed since
About this job
Do you enjoy solving complex, ambiguous problems with data and turning insights into business impact? Amazon is looking for a Data Scientist III to join a team where your analytical expertise will directly shape strategy and drive measurable outcomes. In this role, you will lead the design and delivery of data science solutions across large-scale projects, working with cross-functional partners to unlock new opportunities. You will bring broad expertise in machine learning, statistics, and scientific research to recommend the right approaches, build actionable models, and influence how your team tackles its most important challenges. If you are a collaborative, curious problem-solver who thrives on turning data into decisions, we want to hear from you.
Key job responsibilities
- Lead the design, implementation, and delivery of data science solutions for complex or ambiguous business problems, selecting appropriate machine learning and statistical methods to maximize impact.
- Build, train, and evaluate machine learning models (e.g., classification, regression, clustering) using tools such as Python, R, and SQL, and apply advanced techniques including generative AI where appropriate.
- Partner with cross-functional teams to translate business questions into rigorous analytical frameworks, and communicate findings that influence team and organizational strategy.
- Drive data science best practices and set standards for your team, including reviewing analyses, data modeling processes, and results produced by peers, and providing constructive feedback.
- Mentor and develop other data scientists in your organization, share knowledge of emerging methods and techniques, and contribute to internal enablement through presentations and documentation.
A day in the life
You might start your morning reviewing experiment results or refining a model you have been iterating on, then join a working session with engineers and product partners to align on how your analysis will inform an upcoming launch. After lunch, you could be exploring a new dataset, prototyping a novel approach, or writing up findings for a broader audience. Throughout the day, you will balance hands-on technical work with mentoring teammates and collaborating across groups to ensure your solutions address real business needs.
About the team
Our team is passionate about using data science to solve meaningful problems at Amazon scale. We value collaboration, intellectual curiosity, and a commitment to building solutions that are rigorous, reproducible, and actionable. Whether you are developing new models, mentoring colleagues, or partnering with stakeholders to shape strategy, you will be part of a group that invests in your growth and celebrates creative problem-solving. We are focused on building an inclusive environment where every voice contributes to our shared mission.
Basic Qualifications
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 4+ years of data scientist experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
Preferred Qualifications
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
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, Bellevue - 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 328 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 $168,000.
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 7, 2026.
This listingData Scientist III$159,200 to $215,300
Sr. Hardware Development Engineer, Hardware Engineering Services$159,200 to $215,300
Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware$159,200 to $215,300
Sr. Quality & Reliability Engineer, Hardware Engineering Services$159,200 to $215,300
Senior Economist, International Seller Services$159,200 to $215,300
Sr. Simulation Scientist, Amazon Logistics$159,200 to $215,300
Data Scientist III, Amazon Devices Software & Services$159,200 to $215,300
Chart as a table
| Role | Published base |
|---|---|
| Data Scientist III (this listing) | $159,200 - $215,300 |
| Sr. Hardware Development Engineer, Hardware Engineering Services | $159,200 - $215,300 |
| Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware | $159,200 - $215,300 |
| Sr. Quality & Reliability Engineer, Hardware Engineering Services | $159,200 - $215,300 |
| Senior Economist, International Seller Services | $159,200 - $215,300 |
| Sr. Simulation Scientist, Amazon Logistics | $159,200 - $215,300 |
| Data Scientist III, Amazon Devices Software & Services | $159,200 - $215,300 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-10-28
Where this pay comes from
Location as the employer wrote it: US, WA, Bellevue
USA, WA, Bellevue - 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.