Data Scientist Risk Modeling & Analytics

  • Arlington, VA
  • Posted 2 hours ago | Updated 2 hours ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Artificial Intelligence
Natural Language Processing
Machine Learning (ML)
Python
PyTorch
scikit-learn
TensorFlow
Workflow

Job Details

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

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