AI Data Scientist

Saxon Global
United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Health Informatics Information Engineering Data Visualization EHealth Python (Programming Language) Machine Learning SQL Databases Usage Analysis Enterprise Data Management Large Language Models
+3 more
Generative AI Operational Systems Data Management

Requirements

Need healthcare Experience

  • 5-8+ years of experience in data science, machine learning, advanced analytics, applied statistics, product analytics, health analytics, or a related quantitative role.
  • Experience developing models, analytical frameworks, datasets, features, metrics, or decision-support methods that influence product, operational, clinical, or business outcomes.
  • Experience working with cross-functional teams including product, engineering, data engineering, analytics, operations, clinical/business stakeholders, or governance teams.
  • Experience using Python, SQL, statistical modeling, machine learning, experimentation, data visualization, generative AI/LLMs, and modern analytics, ML, or AI development tooling.
  • Hands-on experience building and deploying LLM-powered or agentic capabilities that use enterprise data and tools to complete multi-step analytical or workflow tasks; experience integrating agents with APIs, data platforms, applications, or operational systems.
  • Healthcare, life sciences, payer, provider, digital health, financial services, or other regulated-industry experience preferred but not required.

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