Senior Applied AI Data Scientist

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.

You will work closely with Data Engineering, Analytics, Product, and business stakeholders to:

• Build AI-assisted workflows and internal tooling

• Prototype and productionize LLM-enabled applications

• Develop scalable analytics and decision-support systems

• Improve self-service data access safely and responsibly

• Reduce operational burden through automation and intelligent systems

• 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

Working at HealthCare.com

Great work deserves great rewards. Here's what's waiting for you:

• Health insurance that actually makes sense — Florida Blue PPO or HSA plan, and we put money in your HSA ($2K for you, $4K if you’ve got a family). You’re literally in the business of healthcare. You deserve good coverage.

• Dental & vision — Delta Dental, Aetna, or Guardian for your teeth. Aetna/VSP for your eyes. We’ve got your whole face covered.

• 401(k) with a match — contribute 6%, we kick in 3%. Eligible upon hire. Your future self will thank you.

• PTO that respects your life — 15 days a year to start, rolls over, and you don’t have to beg for it. Plus paid holidays, because obviously.

• 8 weeks paid parental leave — new baby, new adoption, new chapter. Take the time. We mean it.

• Free EAP — confidential support for life’s messier moments. Mental health, legal questions, financial stress — covered, no cost, no judgment.

• Life & AD&D insurance — company-paid, because we’ve got your back.

• Working Advantage — free access to exclusive discounts on Disney, Six Flags, NFL tickets, hotels, streaming, dining, and hundreds more. Work hard, play harder.

At HealthCare.com, we believe a diverse and inclusive team makes us stronger — and better at serving the people who rely on us. We’re committed to recruiting, developing, and retaining talent from a wide range of backgrounds and to building a workplace where everyone can do their best work.

HealthCare.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.