Transportation Optimization Scientist

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

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Parental leave

Job summary

Amazon's Middle Mile Surface Research Science seeks an Applied Scientist to invent and build optimization models and algorithms that improve how Amazon plans and operates its transportation network. Your work will focus on driver capacity optimization and impact decisions worth billions for millions of customers.

As an Applied Scientist, you will translate business problems into modeling approaches, collaborate with product, engineering and operations partners, and communicate results to

Qualifications

• PhD or Master's in a relevant field with 4+ years of related experience.
• Proficiency in Java, C++, or Python.
• Experience building ML models for business applications.
• Strong background in optimization (linear/nonlinear).

Responsibilities

• Design and develop optimization models and algorithms for planning systems.
• Build models and algorithms from prototype to production-level systems.
• Translate ambiguous problems into modeling approaches with partners.
• Influence key decisions through rigorous modeling and analysis.
• Communicate results to scientific and business audiences.

Skills

Java

C++

Python

Education

Master's or PhD in a relevant field

Tools

Random forests

Gradient boosting

LASSO

Logistic regression

Job description

Amazon's Middle Mile Surface Research Science seeks an Applied Scientist to invent and build optimization models and algorithms that improve how Amazon plans and operates its transportation network. Your work will focus on driver capacity optimization and impact decisions worth billions for millions of customers.

As an Applied Scientist, you will translate business problems into modeling approaches, collaborate with product, engineering and operations partners, and communicate results to