Who is Eleos Health?
The people who deliver care in our communities and homes do some of the most important work in healthcare. But too often, theyʼre asked to spend their time navigating paperwork, administrative burden, and problems they only discover after something has already gone wrong.
Eleos exists to change that.
Weʼre building the system of action for community-based care - helping behavioral health, hospice, home health, and other care teams spend less time reacting to problems and more time focused on the people they serve.
Powered by our Polaris AI, Eleos works alongside clinicians and their teams to understand whatʼs happening across care in real time and take action before issues become problems, reducing administrative burden, protecting revenue and compliance, and giving care teams more time and capacity to deliver great care.
Our vision is a world where care teams can stay one step ahead, rather than constantly catching up. Weʼre helping shift an entire industry from reactive to proactive, and we need talented people to help us get there.
Who is Eleos Health?
Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human. Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put,
We want to give clinicians the support they need to do the important work only they can do.
What is this opportunity?
At Eleos, we build AI that turns behavioral health conversations into clinical documentation and actionable insights, helping care teams spend less time on administrative work and more time with the people they support.
As a Senior Data Scientist, you will own the development and quality of AI capabilities that clinicians use in their daily work. You will work with real-world conversations, clinical text, and audio to build solutions for documentation, structured information extraction, and clinical insights across diverse care settings.
This is a hands-on role combining experimentation, production software development, and close collaboration with engineering, product, and clinical experts. You will help define what good AI output looks like, build ways to measure it, and turn promising experiments into reliable product capabilities.
Who are you?
- 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.
How will you contribute?
- 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 that support diverse clinical use cases.
- Drive measurable quality improvements through evaluation datasets, automated testing, clinical feedback, and investigation of real-world failure patterns.
- Make AI reliable at scale, balancing accuracy, consistency, latency, and cost, and owning improvements from experimentation through production monitoring.
- Shape technical and product direction alongside engineering, product, and clinical experts; mentor colleagues and equip teams with tools to build and evaluate AI confidently.
What qualifications and skills will help you to be successful?
Some nice to haves are
- 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.
This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands. We have
- A product that positively impacts peoples' lives every single day.
- A team of amazing people with a shared vision and the infinite drive to make it happen
- We offer 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.
Skills Required
- At least 5 years of industry experience as a data scientist
- At least 3 years of production-grade Python experience
- Experience developing and delivering end-to-end AI models from data cleaning and feature engineering through production implementation
- Experience with natural language processing, large language model applications, and generative AI
- Experience in speech and audio technologies, such as speech-to-text, speaker separation, diarization, or speaker identification
- Experience with cloud platforms such as AWS, GCP, or Azure
- Startup experience
- Master's or Ph.D. in computer science, statistics, machine learning, or a related field
- Ability to communicate complex issues and collaborate cross-functionally with product, clinical, and engineering teams
- Experience mentoring and providing technical guidance to team members
What We Do
Eleos is pioneering CareOps Automation. By consolidating the entire behavioral care workflow — everything from progress notes all the way to session intelligence — clinicians are freed from time-consuming operational burdens. Eleos takes care of CareOps, honing in on automating operational necessities, including all documentation, compliance administration as well as providing deep clinical insights through session intelligence. Eleos makes evidence-based behavioral care a reality so clinicians, providers and networks can measurably and comparatively track treatment and progress. Now clinicians put all their focus into care itself. So the care they aim to provide becomes the care they actually deliver. Eleos. More Care. Less Ops.
