Senior Data Scientist, Stores Finance Science, Stores Finance Science

Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science

Job  |  Services LLC

WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data‑backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.

We are looking for a data scientist to lead high‑visibility initiatives for forecasting Amazon Stores' financials. You will develop new science‑based forecasting methodologies and build scalable models to improve financial decision‑making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.

We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision‑making with science. The ideal candidate combines data‑science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.

• Demonstrate thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models.
• Work with technical and non‑technical stakeholders across every step of the science project life cycle.
• Collaborate with finance, product, data engineering, and software engineering teams to create production implementations for large‑scale ML models.
• Innovate by adapting new modeling techniques and procedures.
• Present research results to our internal research community.

• 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.
• 4+ years of data scientist experience.
• Experience with statistical models such as multinomial logistic regression.
• Bachelor’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• Experience managing data pipelines.

• Experience as a leader and mentor on a data science team.
• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
• Master’s degree.
• Experience with machine learning models.

Los Angeles County Applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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.

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

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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 .

Salary and

Location:

• Sunnyvale, CA: – USD annually
• Bellevue, WA: – USD annually
• Seattle, WA: – USD annually

Posted: February 25, 2026 (Updated about 3 hours ago)

Equal Opportunity

Employer:

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