Data Scientist , Demand Forecasting

Job :  |  Services LLC. Amazon has the world's most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning-fast delivery speeds. The Product Data Science team within Forecasting & Labs (part of Supply Chain Optimization Technologies) is looking for an analytical and technically skilled Data Scientist for demand forecasting.

• Design and analyze experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives, drawing causal inferences from both experimental and observational data.
• Develop bias correction models to improve forecast accuracy across Amazon's demand forecasting systems, including National, Regional, Grocery, SSD, Inbound, and CIV forecasts.
• Contribute to GenAI/LLM-based research for forecast explainability and interpretability, helping stakeholders understand what drives forecast signals.
• Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements.
• Work horizontally across the forecasting product portfolio and collaborate with product managers, applied scientists, and engineering teams to embed analytics and machine learning solutions where they create the most value.
• Use large datasets to build models addressing ambiguous forecasting questions, including demand prediction, out-of-stock, seasonality, and varying lead times and spans.
• Interpret data, write reports, and communicate measurement results to stakeholders by translating technical frameworks into business‑oriented insights and actionable recommendations.

• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years as a data/research scientist, statistician, or quantitative analyst in an internet-based company with complex and large data sources.
• Bachelor's degree in a quantitative field.
• Experience deriving causal inferences using observational and experimental data related to demand prediction, stockouts, seasonality, and lead times.
• Strong analytical abilities, business acumen, and excellent communication skills; self‑starter comfortable with ambiguity and fast‑paced environments.
• Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability.

• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S‑PLUS, or R.
• Experience with clustered data processing (e.g., Hadoop, Spark, Map‑reduce, Hive).
• Experience communicating complex ideas to technical and non‑technical audiences.
• Experience with time‑series forecasting, demand modeling, or bias correction techniques.

• Medical, dental, and vision coverage.
• Maternity and parental leave options.
• Paid time off (PTO).
• 401(k) plan with matching.
• Comprehensive health insurance, including prescription and life insurance options.
• Employee assistance program (EAP), mental health support, flexible spending accounts, and adoption/surrogacy reimbursement coverage.
• Access to restricted stock units (RSUs) and sign‑on payments.

USA, WA, Bellevue - $ to $ USD annually (based on experience, qualifications, and location).

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 customers.