Job Description

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.

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