Data Scientist - Hybrid
Compensation
$70K - 100K a year
Responsibilities
Analyze and model transit-related data using statistical and machine learning methods, and visualize insights to support transportation decision-making.
Requirements
Bachelor’s degree in a quantitative field, 3-5 years data science/analysis experience in transit or public sector, proficiency in Python or R, SQL, transit data standards, and data visualization tools.
Full Description
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related quantitative field. • 3-5 years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment. • Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. • Experience with SQL for database querying, manipulation, and data extraction. • Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger Counters), and AVA systems. • Experience with data visualization tools such as Power BI, or equivalent.
This job posting was last updated on 10/23/2025
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