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