The Transportation Data Scientist is responsible for leveraging data analytics and machine learning techniques to gain insights and drive decision-making for transportation-related challenges. This role involves working closely with all miles from transportation, planning areas, and engineering teams to identify, collect, and analyze relevant data to uncover patterns, trends, and predictions that can optimize transportation systems and services.

Key job responsibilities
Collaborate with cross-functional teams to understand transportation challenges and identify data sources that can provide valuable insights
Design and implement data collection, processing, and storage pipelines to gather and manage large-scale transportation data (e.g., traffic sensor data, vehicle telematics, rideshare data, infrastructure utilization, etc.);

Develop advanced analytical models and machine learning algorithms to analyze transportation data and generate predictive insights (e.g., demand forecasting, route optimization, infrastructure maintenance planning, etc.)

Visualize and present data-driven insights and recommendations to stakeholders, including transportation miles (ATS, AMZL, 3P carriers and Air), operations teams, and decision-makers.

Stay up-to-date with the latest trends, technologies, and best practices in transportation data science and analytics;

Contribute to the development and improvement of the organization's transportation data strategy and capabilities.