HYR Global Source Inc

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

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Healthcare) on a W2 contract, 100% remote, with a duration of over 6 months. Requires 6–8 years of data science experience, strong SQL, Python/R skills, and healthcare industry experience is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 3, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Compliance #Jupyter #Regression #ML (Machine Learning) #Monitoring #GitHub #Azure #Time Series #Big Data #Clustering #Statistics #Tableau #Classification #MLflow #R #GIT #Microsoft Power BI #Automation #HDFS (Hadoop Distributed File System) #GCP (Google Cloud Platform) #BI (Business Intelligence) #SQL (Structured Query Language) #Computer Science #Databricks #Python #Cloud #AI (Artificial Intelligence) #Spark (Apache Spark) #Data Science
Role 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.