Machine Learning Scientist — Transportation Optimization

Amazon Inc.; Cambridge (MA); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Transportation seeks an Applied Scientist to design and deploy machine learning models that optimize its middle-mile network. You will build forecasting and optimization models, from prototype to production, with a focus on trailer imbalance forecasting and safety stock optimization to improve equipment re-balancing.

Collaborate with product, engineering, and operations partners, translating business problems into modeling solutions and communicating insights to both scientific and

Qualifications

• PhD or Master’s degree with 4+ years of relevant experience.
• Experience building ML models or algorithms for business use.
• Proficient in Java, C++, or Python and standard ML tools.

Responsibilities

• Design and develop ML, forecasting, and prediction models for optimization and planning.
• Build models from prototype to production-ready systems.
• Translate business problems into modeling approaches with product and engineering partners.
• Influence business decisions through rigorous modeling and analysis.
• Communicate results to scientific and business audiences.
• Collaborate with cross-functional teams to review data and design decisions.

Skills

ML modelling

Algorithm design

Statistical modeling

Education

PhD or Master’s + 4+ years experience

Tools

Java

C++

Python

Job description

Amazon Transportation seeks an Applied Scientist to design and deploy machine learning models that optimize its middle-mile network. You will build forecasting and optimization models, from prototype to production, with a focus on trailer imbalance forecasting and safety stock optimization to improve equipment re-balancing.

Collaborate with product, engineering, and operations partners, translating business problems into modeling solutions and communicating insights to both scientific and