AI-Powered Health Data Scientist III (Remote)

TSP LLC

United States

On-site

USD 84,000 - 115,000

Full time

14 days+
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Job summary

TSP LLC is seeking a Health Data Scientist III- AI Solutions to join our remote US delivery teams. You will apply AI, ML, and advanced analytics to real-world health programs, collaborating with clients, senior staff, and business development to identify opportunities and deliver value.

The role focuses on health-related programs across public health, healthcare delivery, and health systems research. You will build prototypes, conduct model validation, and develop scalable analytics workflows

Qualifications

  • Experience applying ML/AI to real-world health programs or health analytics.
  • Proficiency in Python and common data science libraries.
  • Ability to explain analytical methods and tradeoffs to technical and non-technical audiences.
  • Experience with health data standards and healthcare analytics.

Responsibilities

  • Design, develop, test, and implement AI/analytics solutions for healthcare client needs.
  • Build predictive models, NLP solutions, and prototyped AI applications.
  • Apply LLMs, RAG, and AI agents to defined business challenges.
  • Collaborate with project teams and clients to identify opportunities and deliver value.

Skills

Python
Data science
SQL
LLMs / AI tools
Cloud platforms
MLOps
Dashboards
Stakeholder communication

Education

Bachelor's degree + 5 years experience
Master's degree + 3 years experience

Tools

Databricks
Snowflake
GitHub
AWS
Azure
Google Cloud
GitHub Copilot
FTP

Job description

TSP LLC is seeking a Health Data Scientist III- AI Solutions to join our remote US delivery teams. You will apply AI, ML, and advanced analytics to real-world health programs, collaborating with clients, senior staff, and business development to identify opportunities and deliver value.

The role focuses on health-related programs across public health, healthcare delivery, and health systems research. You will build prototypes, conduct model validation, and develop scalable analytics workflows

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