Amazon
Applied Scientist, Worldwide Grocery Stores - Data and Science
$136K–$184K
Seattle, WA · Full-time · Posted Sep 4, 2026
- Experience
- No number of years stated.
- Education
- Master’s degree or above in Engineering, Computer Science, Machine Learning, Statistics, Physics, or related fields.
About the job
Develops and deploys demand and labor forecasting models that inform staffing and capacity decisions across Amazon’s grocery network, including evaluating Generative AI for forecasting workflows.
What you'll do
- Build, evaluate, deploy, and monitor forecasting models and scalable systems with engineering partners.
- Measure forecast performance and its downstream business impact on labor planning and capacity decisions.
- Prototype Generative AI approaches and communicate scientific findings and recommendations to stakeholders.
What they ask for
- Master’s degree or above in a stated or related field.
- Experience building machine-learning models or developing algorithms for business applications.
- Proficiency in Python, including scientific computing and ML libraries.
- Experience with SQL and large-scale data processing on a modern data platform.
Nice to have
- Experience with time-series forecasting or demand planning.
- Experience deploying models in a cloud environment; peer-reviewed publications are also noted.
Pay
136,000.00 - 184,000.00 USD annually (base salary)
Tools
Python, pandas, NumPy, scikit-learn, SQL, Redshift, Spark, EMR
AI focus
Prototypes and evaluates Generative AI for forecasting workflows, including forecast overrides, persistent-bias detection, and agentic decision-support tools; helps productionize successful approaches.
Model-written summary · the original posting is authoritative