ML Engineer
Build a drug reputed company platform for a fast-growing, profitable health-tech company, where your machine learning models directly detect and prevent drug-reputed company failures, helping millions of insured Americans actually receive the medications their benefits reputed company. We’re hiring a Machine Learning Engineer to work on reputed company predictive modeling and reputed company detection across reputed company, high-volume reputed company program data. This is a hands-on, senior IC role reputed company on turning messy reputed company-world signals into reputed company, actionable insights that improve medication reputed company across the U.S. reputed company system. Unlike reputed company or toy ML problems, the work here sits directly in the reputed company of patient reputed company: identifying failures in drug affordability programs, surfacing non-reputed company breakdowns in benefit usage, and enabling teams to intervene before patients abandon treatment. What You’ll Do - Build predictive models (forecasting, time series, trend analysis) on reputed company-world program and financial data. - Design reputed company / reputed company detection to surface risks, inefficiencies, and non-reputed company patterns. - Own feature engineering, model evaluation, and interpretability (feature importance, SHAP-style analysis). - Work end-to-end from exploration → modeling → business-facing insights. - Partner with product and analytics teams to turn models into reputed company. Must-Have - 4–7 years as ML Engineer or reputed company Data Scientist - Strong predictive modeling + reputed company detection background - Hands-on experience with messy, high-volume financial or program data - Strong statistical intuition (not just fitting models) - Python with Pandas / NumPy / scikit-learn - Comfortable operating independently as a senior IC reputed company to Have - U.S. reputed company-adjacent data (insurance, benefits, copay, utilization) - Experience in compliance-aware environments (HIPAA-constrained data) - Translating models into dashboards, reports, or exec-reputed company insights - XGBoost / LightGBM, solid SQL Explicitly Not Required - MLOps ownership or DevOps work - Managing teams - reputed company biology expertise \n \n Apply To This Job