Data Scientist, Last Mile Simulations & Analytics

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

Job summary

Amazon's Last Mile Simulation and Analytics Team seeks a Data Scientist to design and optimize the delivery network. You will own the Data Science/ML roadmap, develop models, design global experiments, and scale solutions that impact customer experience.

You will translate business challenges into mathematical models, contribute to simulations, and work in a fast-paced, collaborative environment aligning research with strategic priorities.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of experience with SQL, Python, or statistical software (R/SAS/Matlab).
• 3+ years of ML/statistical modeling, data analysis tools and techniques.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM).

Responsibilities

• Design and execute large-scale experiments to uncover insights from complex datasets.
• Build scalable, automated pipelines for data analysis, model development, validation, and deployment.
• Develop advanced ML solutions including regression, clustering, simulation, neural networks, and optimization algorithms.
• Partner with cross-functional teams to implement data-driven strategies and measure impact.
• Validate findings against alternative approaches and KPIs.
• Build stakeholder relationships to drive improvements and prioritize customer needs.

Skills

SQL

Python

R/SAS/Matlab

Statistical modeling

Experiment design

Communication

Education

Master's degree in STEM

Ph.D. in STEM (preferred)

Tools

Python

R

SAS

Matlab

Job description

Amazon's Last Mile Simulation and Analytics Team seeks a Data Scientist to design and optimize the delivery network. You will own the Data Science/ML roadmap, develop models, design global experiments, and scale solutions that impact customer experience.

You will translate business challenges into mathematical models, contribute to simulations, and work in a fast-paced, collaborative environment aligning research with strategic priorities.