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

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.

Key job responsibilities

Demonstrating thorough technical knowledge effective exploratory data analysis and model building using industry standard ML models
Working with technical and non-technical stakeholders across every step of science project life cycle
Collaborating with finance product data engineering and software engineering teams to create production implementations for large-scale ML models
Innovating by adapting new modeling techniques and procedures
Presenting 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 e.g. multinomial logistic regression
- Bachelors 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)
- Masters degree
- Experience in forecasting analyses
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage

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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA Sunnyvale - 183000.00 - 247600.00 USD annually
USA WA Bellevue - 159200.00 - 215300.00 USD annually
USA WA Seattle - 159200.00 - 215300.00 USD annually