Data Scientist: Transportation Analytics & Simulation

Amazon Inc.

Bellevue (WA)

On-site

USD 136,000 - 184,000

Full time

6 days ago

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Transportation Services (NEST) in Bellevue, WA is seeking a Data Scientist to own the full lifecycle of data-driven solutions, from problem framing and data extraction to modeling, simulation, and production-grade analytics. You will build scalable tools and visualizations, enabling stakeholders to explore billions of records and make data-driven decisions.

The role emphasizes advanced analytics, simulation, optimization, and collaboration with scientists, engineers, and product managers

Qualifications

2+ years of data scientist experience.
3+ years of data querying languages (SQL), scripting languages (Python) or statistical/mathematical software (R, SAS, Matlab, etc.) experience.
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
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 (discrete event simulation, agent-based modeling, mathematical optimization) applied to network planning and transportation operations.
Architect computationally efficient data pipelines and aggregation strategies that support responsive, real-time or near-real-time 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 (routing, scheduling, flow, capacity).
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.