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

Amazon • Bellevue, WA

1d

About The Position

The WW Operations IPAT team is revolutionizing Amazon's financial forecasting
through TrendCast, an innovative, automated, science-based top-down forecast
modeling that's 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 leadership’s decision-making
process. We are seeking a driven Data Scientist to help build out these advanced
analytical and AI-driven solutions.

Requirements

• 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
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Nice To Haves

• 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

Responsibilities

• 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level