Data Scientist, WW Ops FP&A

Amazon; San Francisco (CA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking a Data Scientist II in San Francisco to lead the technical strategy for advanced analytical and AI-driven solutions within the WW Operations IPAT team. The role requires expertise in statistical modeling and machine learning. Candidates should have a Master’s degree in STEM, 2+ years of relevant experience, and a strong capability with data querying and scripting languages. The position offers a competitive salary and comprehensive benefits including health insurance and retirement plans.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of experience with data querying languages.
• 3+ years of experience with machine learning tools.
• 1+ years of coaching researchers.
• 1+ years of working with AI systems.
• Master’s degree in a relevant field.

Responsibilities

• Solve complex business problems delivering high-quality artifacts.
• Apply data science methodologies for financial forecasting.
• Design scalable approaches to extract insights from datasets.
• Develop metrics to measure solution benefits.
• Implement LLM-based solutions for financial knowledge retrieval.

Skills

Data querying languages (e.g. SQL)

Scripting languages (e.g. Python)

Machine learning/statistical modeling

Statistical modeling

Econometrics

Mentorship

Education

Master's degree in STEM

Tools

R, SAS, Matlab

Job description

Job ID: 10413691 | Amazon.com Services LLC

The WW Operations IPAT team is revolutionizing Amazon’s financial forecasting through TrendCast, an innovative, automated, science‑based top‑down forecast modeling engine. As we expand our scope into Generative AI, we are building a sophisticated, LLM‑powered Finance Knowledge Base to streamline decision‑making. We are seeking a strong Data Scientist II to drive the technical strategy for these advanced analytical and AI‑driven solutions. In this role, you will act as a technical lead, translating high‑level business ambiguity into scalable, production‑grade systems while influencing cross‑functional roadmaps.

Key Responsibilities

• Own and solve difficult business problems where the solution approach is unclear, delivering high‑quality artifacts that directly influence financial decisions for senior leadership
• Apply a range of data science methodologies (statistical modeling, machine learning, time series analysis, econometrics) to solve complex forecasting challenges
• Design and implement scalable, reliable approaches to extract insights from large, complex datasets across multiple domains
• Develop metrics to quantify the benefits of solutions and measure project progress and success
• Design and implement Retrieval‑Augmented Generation (RAG) systems and LLM‑based solutions to enhance financial knowledge retrieval and decision support
• Proactively identify and solve challenges related to GenAI solutions including accuracy, latency, and context management
• Partner with finance stakeholders, engineers, and other scientists to identify data requirements and deliver solutions that meet customer needs
• Write clear, factually correct documents with substantial analytical components; explain technical concepts to non‑technical audiences
• Provide peer feedback on solutions and results; mentor and teach less experienced data scientists

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• 1+ years of guiding and coaching a group of researchers experience
• 1+ years of working with or evaluating AI systems 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)
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of machine learning concepts and their application to reasoning and problem‑solving
• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience working on multi‑team, cross‑disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data‑driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

Benefits and Compensation

The base salary range for this position is 136,000.00 – 184,000.00 USD annually. 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 optional 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.

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