Amazon
Data Scientist II, Long Term Planning and Forecasting
$136K–$208K
Bellevue, WA +1 · Full-time · Posted May 8, 2026
- Location
- Bellevue, WA
New York, NY - Experience
- 2+ years of data scientist experience; 3+ years in data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.); 3+ years in machine learning/statistical modeling and data analysis; 1+ years guiding and coaching researchers; 1+ years working with or evaluating AI systems; 1+ years creating or contributing to mathematical textbooks, research papers, or educational content.
- Education
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM.
About the job
Develops forecasting and planning models and tools that explain forecast variances, identify demand drivers, and help Amazon leaders make strategic decisions.
What you'll do
- Build causal inference models, variance decomposition methods, explainability frameworks, and reusable model pipelines.
- Develop GenAI-generated performance narratives and automated hypothesis ranking for forecast errors.
- Guide cross-functional planning work and build customer-facing tools for viewing, auditing, analyzing, and intervening in forecasts.
What they ask for
- 3+ years of experience with data querying, scripting, or statistical/mathematical software.
- 3+ years of experience with machine learning/statistical modeling and data analysis tools and techniques.
- 1+ years of experience guiding and coaching researchers; 1+ years working with or evaluating AI systems.
- Master's degree in STEM, or experience working in STEM; experience applying theoretical models in an applied environment.
Nice to have
- Ph.D. in STEM.
- Experience defining benchmarks for GenAI model performance.
Pay
USD 153,400.00 - 207,500.00 annually (base salary); USD 136,000.00 - 184,000.00 annually (base salary)
Tools
SQL, Python, R, SAS, Matlab, Perl
AI focus
Works with or evaluates AI systems and develops GenAI-powered narrative generation, automated hypothesis ranking, and potentially GenAI performance benchmarks.
Model-written summary · the original posting is authoritative