Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist focused on transit data in Columbia, MD, offering a 6-month contract. Requires 3-5 years of experience, proficiency in Python or R, SQL, and familiarity with transit data standards.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Columbia, MD
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🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Forecasting #"ETL (Extract #Transform #Load)" #Visualization #Data Quality #Statistics #BI (Business Intelligence) #Databases #Computer Science #Data Science #Microsoft Power BI #Data Extraction #Data Pipeline #R #Datasets #Data Analysis #ML (Machine Learning) #Database Querying
Role 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: 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€’ Bachelor’s or Master’s 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.