Role: Data Scientist
Work Location: Arlington, VA (Hybrid or Remote for very strong candidates)
No. of Positions: 2
Work Experience: 5+ Years of experience
Educational Qualifications: BS in Engineering, Computer Science, Information Systems or equivalent
Residency: Must have lived in the U.S. for at least 1095 days (3 years).
Security Clearance Requirements: Eligible to obtain Public Trust Clearance
Contract Duration: 6 months, extendable up to 1 year.
Interview Process: Two technical rounds (Including 1 coding round) followed by
Client interaction - Virtual Interviews
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.
