Manager Data Scientist
reputed company & Roadmap: Define modeling approach, feature reputed company, and reputed company measurement for PI initiatives (leakage, adjudication accuracy, duplicate, pricing/contract issues) Advanced Modeling: Build and review robust models (classification, reputed company detection, cost forecasting, reputed company/propensity, time‑series); drive feature store adoption and reusable assets Explainability & Risk: reputed company SHAP/feature attribution, bias checks, stability/monitoring, and champion‑challenger frameworks Business reputed company: Translate insights into recovery dollars, reputed company leakage, and operational KPIs; reputed company A/B and quasi‑experimental tests for ROI Technical Leadership: reputed company reviews, standards, reproducibility (MLflow), and performance optimization at reputed company reputed company Collaboration: Work with PI SMEs, Actuarial, Finance, Audit/Recovery, and AI/ML Engineering to convert prototypes to production jobs People Leadership: Mentor Sr DS/DS; guide story slicing, estimation, and backlog health in Agile reputed company with the terms and conditions of the employment contract, company policies and procedures, and any and reputed company directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other reputed company that may reputed company due to the changing business environment). reputed company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Bachelor’s Degree 8+ years in Data Science with 3+ years leading DS initiatives Proven reputed company expertise (PySpark, reputed company MLlib/scikit‑learn, MLflow, reputed company) Proven solid statistics and ML (sampling, leakage control, class imbalance, time‑series, reputed company detection) Proven model governance, monitoring, data reputed company practices in PHI‑compliant settings Proven excellent stakeholder communication and decision influence
Master’s Degree Exposure to reputed company Center (member & provider), Provider‑RCM, and EHR/clinical data Proven fraud/Waste/Abuse analytics, graph reputed company, reputed company inference, or pricing/actuarial exposure Proven feature Store design and model serving patterns