Senior Data Scientist

The role

You will own the development and quality of AI capabilities used by clinicians. You will work with real-world conversations, clinical text, and audio to build solutions for documentation, structured information extraction, and clinical insights.

What you will do

• Build and own production AI capabilities for clinical documentation, structured information extraction, clinical insights, chat experiences, and AI agents.
• Develop reusable LLM workflows and services including prompt components, retrieval, and tool integrations.
• Drive measurable quality improvements through evaluation datasets, automated testing, clinical feedback, and investigation of real-world failure patterns.
• Make AI reliable at scale by balancing accuracy, consistency, latency, and cost.
• Shape technical and product direction alongside engineering, product, and clinical experts.
• Mentor colleagues and equip teams with tools to build and evaluate AI confidently.

Required qualifications

• 5+ years of industry experience in data science, applied machine learning, or AI engineering.
• 5+ years of hands-on Python experience, including building and maintaining production services, with strong practices in software design, testing, code review, and debugging.
• Ability to translate ambiguous product and clinical needs into maintainable technical solutions and measurable success criteria.
• Proven experience owning AI solutions end to end, from problem definition and experimentation to deployment, monitoring, and ongoing improvement.
• Hands-on experience building production LLM applications, including prompt design, structured outputs, and conversational or agentic workflows.
• Experience designing LLM evaluations, including trusted evaluation datasets, LLM-as-a-judge methods, and systematic error analysis.
• Practical experience developing and deploying applications on cloud platforms such as AWS, GCP, or Azure.

Nice to have

• Experience building AI applications, agents with tool use, context management, and multi-step workflows.
• Experience with audio or multimodal models, speech-to-text, or speaker diarization.
• Experience with healthcare applications, sensitive data, or multilingual NLP.
• Experience working in a startup environment.
• A master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.

Benefits

• Significant equity.
• Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy.
• Hybrid work opportunities.
• Mental health days off you can take any given moment simply because you need them.

About the company

Eleos Health builds a system of action for community-based care using Polaris AI to help clinicians reduce administrative burden and focus on patients. The company aims to deliver effective behavioral care through data, measurement, and personalization.