Job Description
<p><b>Job Title:</b> Data Scientist (Healthcare)<br /> <b>Location:</b> REMOTE </p> <p><b>Type:</b> Contract / Full-time W2 Only </p> <p> </p> <p><b>Overview:</b><br /> Hands-on data scientist role solving healthcare/insurance problems with machine learning, cloud platforms, and modern analytics to drive measurable business impact.</p> <p> </p> <p><b>Key Responsibilities:</b></p> <ul> <li>Partner with stakeholders to define measurable use cases (risk, churn, fraud, utilization, etc.).</li> <li>Wrangle, cleanse, and engineer healthcare data (claims, eligibility, EMR, utilization).</li> <li>Build, evaluate, and deploy models (regression, classification, trees/GBMs, clustering, time series).</li> <li>Productionize models with data/MLOps teams (pipelines, packaging, monitoring, drift/decay).</li> <li>Deliver clear analyses, dashboards, and executive-ready presentations.</li> <li>Ensure compliance (HIPAA/PHI) and reproducibility (git, notebooks, experiment tracking).</li> <li>Contribute to LLM initiatives (prompt engineering, RAG, fine-tuning, AI workflow automation).</li> </ul> <p style="margin-left:48px"> </p> <p><b>Requirements:</b></p> <ul> <li>6 8 years hands-on data science experience with proven business impact.</li> <li>Strong SQL and proficiency in Python or R.</li> <li>Experience with Big Data tools (Spark/Hive/HDFS or equivalent).</li> <li>Practical ML expertise: regression, classification, clustering, tree ensembles (XGBoost/LightGBM).</li> <li>Familiarity with cloud ML platforms (Databricks, Azure ML, Vertex AI).</li> <li>Exposure to LLMs, fine-tuning, and agentic AI.</li> <li>Excellent communication and stakeholder management skills.</li> <li>BS/MS in Computer Science, Statistics, Applied Math, Engineering, or related field.</li> <li>Healthcare payer/provider experience a strong plus.</li> </ul> <p style="margin-left:48px"> </p> <p><b>Tools You'll Use:</b><br /> Python/R, SQL, Spark/Databricks, Azure ML/Vertex AI, MLflow, Git/GitHub, Jupyter/Databricks notebooks, Power BI/Tableau, Azure/GCP services.</p> <p> </p> <p> </p> <p> </p> <p style="margin-bottom:11px"> </p>