Data Scientist, Transportation Analytics & Optimization

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

Job summary

Amazon is seeking a Data Scientist to own end-to-end analytical lifecycles, from problem framing to production-grade analytics. You will build models, pipelines, and interactive tools over massive transportation datasets, collaborating with scientists, engineers, and product managers to enable data-driven decisions.

The role emphasizes predictive and prescriptive modeling, scalable visualization, and results storytelling for leadership and business customers in a fast-paced setting.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques
• Experience applying theoretical models in an applied environment
• Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
• Bachelor's degree

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 that enable self-service exploration of very large transportation datasets (billions of records)
• Develop and enhance simulation and optimization models applied to network planning and transportation operations
• Architect computationally efficient data pipelines and aggregation strategies that support responsive visualization at scale
• Develop advanced data storytelling artifacts that communicate complex network dynamics, trends, and anomalies to technical and non-technical stakeholders
• Build and maintain reusable visualization frameworks and libraries tailored to transportation network data
• Work with large-scale data platforms (Redshift, Spark, S3, Athena) to extract, transform, and model data for analytical consumption
• Develop code (Python, SQL, Scala) for data processing, statistical modeling, simulation, and building automated analytical workflows
• Collaborate with Applied Scientists, Research Scientists, Software Engineers, and Product Managers to integrate analytical tools into broader planning and decision-support systems
• Define and implement best practices for data visualization performance, including sampling strategies, level-of-detail rendering, and progressive loading for large datasets
• Communicate findings, methodology, and recommendations through compelling written and verbal presentations to leadership and business customers

Skills

Data storytelling

SQL

Python

Education

Bachelor's degree

Tools

R

SAS

Matlab

Job description

Amazon is seeking a Data Scientist to own end-to-end analytical lifecycles, from problem framing to production-grade analytics. You will build models, pipelines, and interactive tools over massive transportation datasets, collaborating with scientists, engineers, and product managers to enable data-driven decisions.

The role emphasizes predictive and prescriptive modeling, scalable visualization, and results storytelling for leadership and business customers in a fast-paced setting.