Data Scientist, Transportation Analytics & Simulation

Amazon; Bellevue, Northern (WA, KY); Hybrid; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Transportation Services (NEST) is seeking a Data Scientist to own end-to-end analytical solutions for a massive transportation network. You will transform billions of records into actionable insights, build simulation and optimization models, and deliver interactive tools for decision support.

This role blends data engineering, visualization, and modeling in a fast-moving environment. The team leverages Python, SQL, and Scala on platforms like Redshift, Spark, and S3 to enable data-driven

Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (SQL) or scripting languages (Python) experience.
• 3+ years of machine learning/statistical modeling experience.
• Experience applying theoretical models in an applied environment.
• Experience with big data: processing, filtering, and presenting large quantities of data.
• Bachelor's degree required.

Responsibilities

• Own the end-to-end analytical lifecycle: identify stakeholder needs, frame problems, build models, and narrate results through data tools and visualizations.
• Design and build production-grade analytical tools, BI applications, and interactive data products for self-service exploration of large datasets.
• Develop and enhance simulation and optimization models for network planning and transportation operations.
• Architect data pipelines and aggregation strategies for real-time visualization at scale.
• Develop data storytelling artifacts to communicate network dynamics and trends to stakeholders.
• Build and maintain reusable visualization frameworks and libraries for transportation data.

Skills

Data science

SQL

Python

Machine learning

Education

Bachelor's degree

Tools

AWS services

Job description

Amazon Transportation Services (NEST) is seeking a Data Scientist to own end-to-end analytical solutions for a massive transportation network. You will transform billions of records into actionable insights, build simulation and optimization models, and deliver interactive tools for decision support.

This role blends data engineering, visualization, and modeling in a fast-moving environment. The team leverages Python, SQL, and Scala on platforms like Redshift, Spark, and S3 to enable data-driven