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Data Scientist (Healthcare) – 100% Remote | W2 Only | Visa Sponsorship Available

Data Scientist (Healthcare) – 100% Remote | W2 Only | Visa Sponsorship Available

HYR GLOBAL SOURCE INCDallas, TX, United States
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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.

    #LI-NITINSHARMA

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    Data Scientist • Dallas, TX, United States

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