Senior Data Scientist, WW Ops FP&A

Senior Data Scientist

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 cutting-edge 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. This game-changing model not only delivers more agile and precise financial projections but also significantly reduces the workload on finance teams. By providing more frequent forecasts, this model will facilitate leadership's decision-making process, allowing for more timely and informed strategic choices.

Key job responsibilities:

• Drive model development and improvement through machine learning and statistical techniques, creating scalable solutions for complex business problems.
• Design, develop, and evaluate novel forecasting models, with a focus on large-scale operational challenges.
• Lead projects through the entire data science lifecycle, from problem formulation to production deployment, working with both technical and non-technical stakeholders.
• Implement advanced ML models, including supervised and unsupervised learning approaches, and optimization algorithms for supply chain and operational systems.
• Develop a deep understanding of key business metrics and KPIs, connecting them to actionable levers that inform strategic decisions.
• Collaborate closely with finance, product, and BIEs teams to build and deploy robust models and algorithms.
• Architect scalable data pipelines and work with distributed computing frameworks to handle petabyte-scale datasets.

The ideal candidate will have expertise in ML model development, optimization techniques, statistical analysis, and database design. Proficiency in working with large, complex datasets and visualization tools is essential. Experience with cloud computing, MLOps, and production model deployment is highly valued.

Join our team as we tackle unprecedented challenges in global operations, driving data-driven decision making at scale.