AI/ML - Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Data Scientist focused on Risk Modeling & Analytics. It offers a hybrid contract in Washington, DC, paying $55.00 - $60.00 per hour. Requires 5+ years in machine learning, advanced statistical techniques, and Python proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Yes
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📍 - Location detailed
Washington, DC 20032
-
🧠 - Skills detailed
#Anomaly Detection #Data Science #TensorFlow #ML (Machine Learning) #PyTorch #Sentiment Analysis #AI (Artificial Intelligence) #Libraries #"ETL (Extract #Transform #Load)" #Security #Python #NLP (Natural Language Processing)
Role description
Data Scientist – Risk Modeling & Analytics
Contract -
Washington, DC - Hybrid
Security Clearance : Eligible to obtain Public Trust Clearance
Skills & Experience Requirements
5+ years applying advanced statistical, machine learning, and graph analytics techniques to solve complex risk or anomaly detection problems.
Strong proficiency in Python, including ML frameworks (PyTorch, TensorFlow, scikit-learn) and graph ML libraries.
Experience with transformer-based NLP models, sentiment analysis, and entity resolution.
Ability to design and evaluate predictive models using metrics like Precision@K, ROC-AUC, F1-score, with a focus on operational impact.
Demonstrated experience in translating model insights into clear, explainable outputs for non-technical stakeholders.
Job Type: Contract
Pay: $55.00 - $60.00 per hour
Expected hours: 40 per week
Application Question(s):
Candidate Must have Public Trust Clearance (PTC) or Eligible to obtain Public Trust Clearance.
Experience:
Machine learning: 5 years (Required)
Python: 5 years (Required)
PyTorch: 3 years (Required)
TensorFlow: 3 years (Required)
Scikit-learn: 3 years (Required)
Natural language processing: 3 years (Required)
Security clearance:
Top Secret (Required)
Work Location: In person
Data Scientist – Risk Modeling & Analytics
Contract -
Washington, DC - Hybrid
Security Clearance : Eligible to obtain Public Trust Clearance
Skills & Experience Requirements
5+ years applying advanced statistical, machine learning, and graph analytics techniques to solve complex risk or anomaly detection problems.
Strong proficiency in Python, including ML frameworks (PyTorch, TensorFlow, scikit-learn) and graph ML libraries.
Experience with transformer-based NLP models, sentiment analysis, and entity resolution.
Ability to design and evaluate predictive models using metrics like Precision@K, ROC-AUC, F1-score, with a focus on operational impact.
Demonstrated experience in translating model insights into clear, explainable outputs for non-technical stakeholders.
Job Type: Contract
Pay: $55.00 - $60.00 per hour
Expected hours: 40 per week
Application Question(s):
Candidate Must have Public Trust Clearance (PTC) or Eligible to obtain Public Trust Clearance.
Experience:
Machine learning: 5 years (Required)
Python: 5 years (Required)
PyTorch: 3 years (Required)
TensorFlow: 3 years (Required)
Scikit-learn: 3 years (Required)
Natural language processing: 3 years (Required)
Security clearance:
Top Secret (Required)
Work Location: In person
