Data Scientist

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.