Applied Scientist: Forecasting & Labor Analytics

Amazon Science; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking an Applied Scientist to join the S&OP and Supply Chain Science team in Seattle. You will build forecasting models for labor planning across the Grocery Network, collaborating with engineers, product owners, and business stakeholders to drive staffing decisions.

You will work with time-series, Bayesian, and ML approaches, contribute to AI-in-the-loop forecasting, and help deploy scalable forecasting systems in a modern data platform.

Qualifications

• Master's degree or higher in a relevant field such as Engineering, CS, ML, Stats, or Physics.
• Experience building ML models or algorithms for business applications.
• Proficiency in Python with pandas, NumPy, scikit-learn.
• Experience with SQL and large-scale data processing on a platform like Redshift, Spark, or EMR.

Responsibilities

• Develop, evaluate, and deploy components of demand and labor forecasting models with distributional objectives.
• Translate business problems into well-defined scientific solutions with clear objectives and metrics.
• Analyze forecast performance and downstream impact on labor planning and capacity decisions.
• Prototype and evaluate Generative AI approaches in forecasting workflows.
• Partner with engineering teams to produce models and build scalable forecasting systems.
• Monitor deployed models and continuously improve calibration.
• Communicate technical concepts through documentation, presentations, and reviews.
• Contribute to internal scientific community through knowledge sharing and publications.

Skills

Python

ML models

SQL

Time-series forecasting

SageMaker

AWS

Education

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

Tools

Redshift

Spark

EMR

Job description

Amazon is seeking an Applied Scientist to join the S&OP and Supply Chain Science team in Seattle. You will build forecasting models for labor planning across the Grocery Network, collaborating with engineers, product owners, and business stakeholders to drive staffing decisions.

You will work with time-series, Bayesian, and ML approaches, contribute to AI-in-the-loop forecasting, and help deploy scalable forecasting systems in a modern data platform.