Summary
Healthcare is hiring a Senior Applied AI Data Scientist to join their Data & Analytics team. We've helped millions of Americans find the right plan, raised over $200M, and built proprietary technology that's rewriting the rules of an entire industry. Key skills: AI, Data Science.
About the role
About HealthCare.com
HealthCare.com is one of America's fastest-growing insurtechs — and we're on a mission that actually matters. We've combined advanced technology and data science to build smarter, more personalized health insurance products that cut through the confusion and put the right coverage in the hands of the people who need it. Less guesswork. Better decisions. Real outcomes.
We've helped millions of Americans find the right plan, raised over $200M, and built proprietary technology that's rewriting the rules of an entire industry.
If you're ready to do the most meaningful work of your career alongside a team that's genuinely fired up about it — welcome home.
About The Role
We are seeking a highly technical and pragmatic Senior Applied AI / Data Scientist to help scale AI-enabled systems, analytics workflows, and internal data applications across the organization.
This is not a traditional research-focused data science role. The ideal candidate is someone who can bridge business problems, analytics, engineering, and modern AI tooling to rapidly prototype and operationalize high-impact solutions.
What You'll Do
You will work closely with Data Engineering, Analytics, Product, and business stakeholders to:
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Build AI-assisted workflows and internal tooling
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Prototype and productionize LLM-enabled applications
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Develop scalable analytics and decision-support systems
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Improve self-service data access safely and responsibly
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Reduce operational burden through automation and intelligent systems
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Help evolve internal governance and semantic consistency practices
The environment is fast-moving, ambiguous, and highly collaborative. Success in this role requires strong systems thinking, ownership mentality, technical versatility, and the ability to operate independently with limited oversight.
Who You Are
5+ years of experience in Data Science, Analytics Engineering, Applied AI, ML Engineering, or related technical roles
Strong Python and SQL skills
Experience building production-facing data or AI systems
Experience working with LLMs, AI tooling, orchestration frameworks, RAG systems, or AI-enabled workflows
Ability to independently scope and execute ambiguous technical projects
Strong communication skills with technical and non-technical stakeholders
Experience working in cloud-based data environments
Strong systems thinking and debugging ability
Comfortable operating in fast-moving and evolving environments
Nice To Have
Experience with Snowflake, Airflow, dbt, AWS, or modern analytics stacks
Experience with vector databases, embeddings, semantic search, or knowledge systems
Exposure to healthcare, fintech, marketplace, or other regulated/sensitive data domains.
Experience building internal tooling or developer productivity systems
Startup or high-growth company experience
Experience working across Data Engineering and Analytics functions
Experience evaluating AI governance, safety, or operationalization concerns
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