Job Description
Data Scientist – Transit Data Focus_Columbia, MD (On-site / hybrid)_Contract (6 Months)
Position Title: Data Scientist – Transit Data Focus
Location: Columbia, MD (On-site / hybrid)
Employment type: Contract
Duration: 6 Months
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.
Technical Skills & Qualifications:
- 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.