Rangam

RCI-LON-135020-1 Sr Data Scientist – ML & Operational Analytics (NO C2C)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist – ML & Operational Analytics in Washington, DC (Hybrid) for 12 months, paying $65-$70 per hour. Requires MS in a quantitative field, 5+ years in data science, proficiency in Python, R, SQL, and ML libraries, plus electric utility experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
January 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Azure Machine Learning #Python #Computer Science #Mathematics #SQL (Structured Query Language) #Libraries #Deployment #Data Science #R #Programming #Classification #Regression #Statistics #Data Quality #ML (Machine Learning) #Azure
Role description
Job Code : RCI-LON-135020-1 Sr Data Scientist – ML & Operational Analytics (NO C2C) Job Title: RCI-LON-135020-1 Sr Data Scientist – ML & Operational Analytics (NO C2C) Location: Washington, DC 20068 (Hybrid) Duration: 12 Month extension possible based on needs and performance Minimum Salary: $65.00 Per Hourly Maximum Salary: $70.00 Per Hourly https://talentarbor.com/job/details/135436/3/23/sr-data-scientist---ml---operational-analytics-washington-dc-us Must be local to Edison PL, Washington DC Sr Data Scientist – ML & Operational Analytics - Washington, DC (Hybrid) Key Responsibilities • Build and deploy ML models (regression, classification, time-series) for operational use cases. • Perform data preparation, feature engineering, and ensure data quality. Required Qualifications • MS in Computer Science, Statistics, Mathematics, Engineering, Physics, or related quantitative field. • 5+ years of experience in data science with operational analytics. • Proficiency in Python, R, SQL, and ML libraries. • Strong statistical foundation (probability, inference, regression, experimental design). Preferred Qualification • PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related quantitative. • Electric Utility or Similar Industry Experience • Experience with Azure Machine Learning for model development and deployment. • Experience with optimization techniques (linear programming, mixed-integer optimization).