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Data ScientistBestinfo Systems LLC • Columbia, MD, United States
Data Scientist

Data Scientist

Bestinfo Systems LLC • Columbia, MD, United States
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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.
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