If you can take messy healthcare data, run thoughtful experiments, and turn models into real product impact, this role matters. Ensemble Health Partners is hiring a Senior Data Scientist, AI to build ML and AI pipelines with a focus on generative AI, LLMs, RAG workflows, and predictive modeling to improve efficiency and outcomes across healthcare systems.
About Ensemble Health Partners
Ensemble Health Partners provides technology-enabled revenue cycle management solutions for hospitals and health systems nationwide. They deliver end-to-end RCM and point solutions, investing heavily in technology and AI to reduce administrative friction and lower healthcare costs.
Schedule
- Full-time
- Remote (Nationwide)
- Travel may be required
- Salary range: $83,200–$159,450 (based on experience)
What You’ll Do
- Lead AI strategy and deliver solutions combining software engineering, statistics, and machine learning for clinical applications
- Design and run analytical experiments that drive measurable improvements
- Build AI/ML models and pipelines focused on generative AI, LLMs, RAG, and predictive modeling
- Partner with business and product owners to translate requirements into data decisions and product design choices
- Collaborate with engineers and developers to deploy solutions into production
- Identify, collect, transform, and explore data to become the in-house expert on available datasets
- Create reports and presentations that clearly communicate hypotheses, insights, and recommendations
- Coordinate across engineers and product analysts to enable smooth cross-functional delivery
What You Need
- 3+ years of experience working as a Data Scientist
- 5–7 years of desired work experience noted for the role
- Post-graduate degree or equivalent experience (PhD or MSc in CS/ML/AI preferred)
- Strong programming skills (Python, R, and/or SQL)
- Experience with ML frameworks/tools (PyTorch, TensorFlow, scikit-learn, XGBoost, or equivalent)
- Strong grounding in ML fundamentals (deep learning, regression, classification, clustering) and statistical analysis
- Experience designing, testing, deploying, and maintaining ML systems with large datasets
- Experience with LLM-based pipelines (RAG and prompting techniques a plus)
- Familiarity with LLM toolchains (LangChain, LlamaIndex, Haystack, Azure AI Studio, vector databases, retrieval techniques)
- Database and data pipeline experience (SQL, Azure Data Factory, or similar) or big data frameworks (Hadoop, Spark)
- Understanding of MLOps fundamentals (orchestration, cloud compute, observability)
- Familiarity with software development best practices (CI, unit/integration testing, code reviews)
- Strong written and verbal communication skills
- Ability to work independently and thrive in a fast-paced team environment
- Revenue cycle, collections, or financial industry knowledge (nice to have, not required)
Benefits
- Bonus incentives
- Paid certifications and tuition reimbursement
- Comprehensive benefits package
- Career advancement opportunities
- Culture focused on innovation, growth, and recognition
If you’re ready to build AI that ships, scales, and actually changes how healthcare works, don’t wait.
Bring your modeling chops, your experimentation mindset, and your ability to partner with product and engineering and help Ensemble turn AI into real-world impact.
Happy Hunting,
~Two Chicks…