Data Scientist, WW Ops, FP&A, WW Ops FP&A

The WW Operations IPAT team is revolutionizing Amazons financial forecasting through TrendCast an innovative automated science-based top-down forecast modeling thats transforming how we predict Worldwide Operations costs. This innovation approach leverages key performance indicators to generate automated transparent forecasts with unprecedented frequency. By moving beyond traditional bottom-up planning TrendCast empowers leadership with real-time insights enabling swift identification of both risks and opportunities.
As our operational scope rapidly expands into Generative AI we are also building an intelligent GenAI-powered Finance Knowledge Base to further reduce the workload on finance teams and facilitate leaderships decision-making process. We are seeking a driven Data Scientist to help build out these advanced analytical and AI-driven solutions.

Key job responsibilities
In this role you will be a core contributor to our data science initiatives working at the intersection of traditional machine learning and Generative AI. You will work closely with senior scientists engineering and finance stakeholders to translate complex business problems into scalable models. Your work will directly impact our financial forecasting accuracy (TrendCast) and help develop intuitive LLM-powered tools that allow finance teams to query synthesize and extract insights from our extensive financial knowledge base.

A day in the life
- Develop train and evaluate machine learning and statistical models for financial forecasting ensuring solutions are scalable for large-scale operational challenges.
- Design and implement Generative AI applications specifically building and optimizing Retrieval-Augmented Generation (RAG) pipelines and LLM-based agents to power our internal Finance Knowledge Base.
- Drive modeling projects from data exploration and feature engineering to model deployment and monitoring working collaboratively with both technical and non-technical stakeholders.
- Build and maintain robust data pipelines utilizing distributed computing frameworks to process and analyze petabyte-scale financial and operational datasets.
- Develop a deep understanding of key business metrics and KPIs connecting model outputs to actionable levers that inform strategic operational decisions.
- Collaborate closely with finance product and BIE teams to deploy models gather feedback and continuously iterate on both forecasting algorithms and GenAI user experiences.

- 1 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 2 years of data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication

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 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 WA Bellevue - 108300.00 - 160000.00 USD annually