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. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand Forecasting – we forecast the demand of tens of millions of products.

These forecasts are used to make many decisions, such as automatically ordering hundreds of millions worth of inventory, deciding where to place that inventory, and establishing labor plans for hundreds of warehouses.

• 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 ML 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 of experience as a data/research scientist, statistician or quantitative analyst in an internet‑based company with complex and big data sources.
• Bachelor's degree.
• 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, and Hive).
• Experience communicating complex ideas to technical and non‑technical audiences.
• Experience with time series forecasting, demand modeling, or bias correction techniques.

• Medical, Dental, Vision Coverage.
• Maternity and Parental Leave Options.
• Paid Time Off (PTO).
• 401(k) Plan.

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