Data Scientist, WW Ops FP&A

Description

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.

Key job 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)

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