Data Scientist – Risk Modeling & Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – Risk Modeling & Analytics in Arlington, VA (Hybrid) for a 6-12 month contract. Key skills required include Python, ML/AI, graph analytics, and NLP. 5+ years of relevant experience is essential, preferably in fraud detection or compliance monitoring.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 20, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Arlington, VA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Security #Compliance #Libraries #Data Science #Python #Anomaly Detection #Sentiment Analysis #TensorFlow #Transformers #ML (Machine Learning) #Model Evaluation #HBase #Monitoring #NLP (Natural Language Processing) #PyTorch #AI (Artificial Intelligence) #Datasets
Role description
Location: Arlington, VA – Hybrid (mix of onsite and remote work)
Data Scientist – Risk Modeling & Analytics
Arlington VA (Hybrid)
Contract Duration: 6 -12 Months
Key Skills: Python, ML/AI, Graph Analytics, NLP (Transformers), Model Evaluation
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.
Preferred Qualifications
Hands-on work in fraud detection, compliance monitoring, or national security risk modeling.
Familiarity with imports risk screening workflows, PREDICT, or similar systems.
Experience modeling complex supply chains and applying graph-based ML to entity relationships.
Prior exposure to FDA or other federal public health agency datasets.
Regards,
Raju Chidurala
216-343-3435
rajuc@devfi.com
Location: Arlington, VA – Hybrid (mix of onsite and remote work)
Data Scientist – Risk Modeling & Analytics
Arlington VA (Hybrid)
Contract Duration: 6 -12 Months
Key Skills: Python, ML/AI, Graph Analytics, NLP (Transformers), Model Evaluation
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.
Preferred Qualifications
Hands-on work in fraud detection, compliance monitoring, or national security risk modeling.
Familiarity with imports risk screening workflows, PREDICT, or similar systems.
Experience modeling complex supply chains and applying graph-based ML to entity relationships.
Prior exposure to FDA or other federal public health agency datasets.
Regards,
Raju Chidurala
216-343-3435
rajuc@devfi.com
