Applied ML Scientist — Transport Optimization

Amazon Science; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science seeks an Applied Scientist to invent and build machine learning models that improve how Amazon plans and operates its transportation network. You will transform ambiguous business problems into modeling approaches and work with product and engineering teams to implement scalable solutions.

Your work on forecasting, imbalance, and safety stock optimization will directly influence decisions worth billions and improve delivery experiences for customers worldwide.

Qualifications

• PhD or Master’s degree with 4+ years of science, technology, engineering or related field experience.
• Experience building machine learning models or developing algorithms for business applications.
• 1+ years of programming in Java, C++, Python or related language.
• Experience with standard ML and statistical modeling tools and techniques.

Responsibilities

• Design and develop ML, forecasting, and prediction models to enhance optimization and planning systems.
• Build models from prototype to production-level systems.
• Translate business problems into modeling approaches with product, engineering, and operations partners.
• Influence key decisions through rigorous modeling and analysis.
• Communicate results and recommendations to scientific and business audiences.

Skills

ML modeling

Programming

Data analysis

Communication

Education

PhD or Master’s with 4+ years experience

Tools

Java

Python

C++

Job description

Amazon Science seeks an Applied Scientist to invent and build machine learning models that improve how Amazon plans and operates its transportation network. You will transform ambiguous business problems into modeling approaches and work with product and engineering teams to implement scalable solutions.

Your work on forecasting, imbalance, and safety stock optimization will directly influence decisions worth billions and improve delivery experiences for customers worldwide.