Job Description

Position Title: Data Scientist – Transit Data Focus
Justification: To manage and analyze customer databases, AVA (automated voice announcement), and schedule data for predictive maintenance and service planning.
Experience Level: 3-5 years
Job Responsibilities:

• Collect, process, and analyze transit-related datasets including customer databases, AVA (automated voice announcement) logs, real-time vehicle data, and schedule data.
• Develop predictive models and data-driven insights to support maintenance forecasting, service planning, and operational optimization.
• Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources.
• Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability.
• Collaborate with transit planners, maintenance teams, and IT staff to translate data insights into actionable business strategies.
• Monitor data quality and integrity; implement data validation and cleansing processes.

• 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.

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