Applied Scientist: Grocery Supply Chain & Generative AI

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on bonus

401(k) matching

Parental leave

Job summary

Amazon, a global technology leader, seeks an Applied Scientist for WWGS Data & Science to advance ML models for grocery supply chain planning and stocking. You will collaborate with S&OP, product owners, and engineers to deliver measurable improvements in availability and cost.

You will develop and deploy models using time series, Bayesian, and structural methods, and explore Generative AI to enhance planner workflows.

Qualifications

• Master's degree in Engineering, Computer Science, Machine Learning, Statistics, Physics, or related field.
• Experience building machine learning models or developing algorithms for business applications.
• Proficiency in Python, including scientific computing and ML libraries (pandas, NumPy, scikit-learn).
• Experience with SQL and large-scale data processing on a modern data platform (Redshift, Spark, EMR).

Responsibilities

• Develop, evaluate, and deploy components of machine learning and statistical models for grocery supply chain problems, including demand forecasting and product availability.
• Build models and mechanisms to reduce out-of-stocks and shrink.
• Translate business problems into well-defined scientific solutions with clear objectives and success metrics.
• Analyze model performance and downstream impact on inventory and capacity decisions; contribute to relevant metrics.
• Prototype and evaluate Generative AI approaches in supply chain workflows and productionize the successful ones.
• Partner with engineering teams to productionize models and build scalable data pipelines.
• Monitor deployed models and improve model quality and calibration.
• Communicate technical concepts through documentation, presentations, and reviews with stakeholders.
• Contribute to internal scientific community through knowledge sharing and publications.

Skills

Python

SQL

Machine learning

Data analysis

Education

Master's degree in Engineering, CS, ML, Statistics or Physics

Tools

Redshift

Spark

EMR

Job description

Amazon, a global technology leader, seeks an Applied Scientist for WWGS Data & Science to advance ML models for grocery supply chain planning and stocking. You will collaborate with S&OP, product owners, and engineers to deliver measurable improvements in availability and cost.

You will develop and deploy models using time series, Bayesian, and structural methods, and explore Generative AI to enhance planner workflows.