Applied Scientist: Grocery Forecasting & Labor Optimization

Amazon.com Services LLC; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

RSUs

Health insurance

Paid time off

Job summary

Amazon's Worldwide Grocery Stores (WWGS), Data & Science team, seeks an Applied Scientist to join our S&OP and Supply Chain Science group. You will build forecasting models that drive labor planning across the Amazon Grocery Network, where forecast misses can increase costs and affect customer experience.

You will work with engineers, product owners, and business stakeholders, deploying time-series, Bayesian, and ML methods, and exploring Generative AI to automate forecast overrides and enhance

Qualifications

• Master's degree or above in Engineering, Computer Science, ML, Statistics, Physics, or related fields.
• 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 demand and labor forecasting models with guidance from senior scientists.
• Translate business problems into well-defined scientific solutions with clear objectives and success metrics.
• Analyze forecast performance and downstream impact on labor planning and capacity decisions.
• Prototype and evaluate Generative AI approaches in forecasting workflows and productionize successful ones.
• Collaborate with engineering teams to produce models, data pipelines, and scalable forecasting systems.
• Monitor deployed models, investigate performance issues, and improve model quality and calibration.
• Communicate technical concepts and recommendations through documentation, presentations, and design reviews.

Skills

Python

SQL

Machine Learning

Time-series forecasting

Education

Master's degree or above in Engineering, Computer Science, ML, Statistics, Physics, or related fields

Tools

pandas

NumPy

scikit-learn

Redshift

Spark

EMR

Job description

Amazon's Worldwide Grocery Stores (WWGS), Data & Science team, seeks an Applied Scientist to join our S&OP and Supply Chain Science group. You will build forecasting models that drive labor planning across the Amazon Grocery Network, where forecast misses can increase costs and affect customer experience.

You will work with engineers, product owners, and business stakeholders, deploying time-series, Bayesian, and ML methods, and exploring Generative AI to automate forecast overrides and enhance