Data Scientist – Risk Modeling & Analytics

August 19, 2025 Role: Data Scientist Employment Type: C2C Client: REI Systems – FDA Account Location: Remote, USA No. of Positions: 2 Work Experience: 5+ Years of experience Educational Qualifications: BS in Engineering, Computer Science, Information Systems or equivalent Visa & Work Authorization: US Citizen/Green Card Holder/H1B/GC-EAD Residency: Must have lived in the U.S. for at least 1095 days (3 years). Security Clearance Requirements: Eligible to obtain Public Trust Clearance Work Location: Hybrid or Remote for very strong candidates 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.