

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist focused on transit data in Columbia, MD, for a 6-month contract. Requires 3-5 years of experience, proficiency in Python or R, SQL, and familiarity with transit data standards.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 3, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Columbia, MD
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π§ - Skills detailed
#Database Querying #Datasets #SQL (Structured Query Language) #Data Extraction #Data Science #Data Pipeline #Python #Statistics #Visualization #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Data Quality #Forecasting #BI (Business Intelligence) #Databases #Computer Science #R #Data Analysis #ML (Machine Learning)
Role description
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Data Scientist β Transit Data Focus_Columbia, MD (On-site / hybrid)_Contract (6 Months)
Position Title: Data Scientist β 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:
β’ Collect, process, and analyze transit-related datasets including customer databases, AVA (automated voice announcement) logs, real-time vehicle data, and schedule data.
β’ Develop predictive models and data-driven insights to support maintenance forecasting, service planning, and operational optimization.
β’ Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources.
β’ Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability.
β’ Collaborate with transit planners, maintenance teams, and IT staff to translate data insights into actionable business strategies.
β’ Monitor data quality and integrity; implement data validation and cleansing processes.
Technical Skills & Qualifications:
β’ Bachelorβs or Masterβs degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related quantitative field.
β’ 3-5 years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment.
β’ Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning.
β’ Experience with SQL for database querying, manipulation, and data extraction.
β’ Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger Counters), and AVA systems.
β’ Experience with data visualization tools such as Power BI, or equivalent.