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 Youll Use:
Python/R SQL Spark/Databricks Azure ML/Vertex AI MLflow Git/GitHub Jupyter/Databricks notebooks Power BI/Tableau Azure/GCP services.
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