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Data Scientist – AI Products
| Company | Pomelo Care |
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| Location | United States |
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| Salary | $120000 – $190000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 6+ years professional experience in a data science role with a focus on product development
- 3+ years professional experience working in healthcare or regulated industries
- 2+ years professional experience in both SQL and Python
- Proven experience with AI product prototyping, leveraging LLMs and model evaluation
- Passionate about improving maternal health outcomes through innovative AI solutions
- Demonstrated ability to scope and implement solutions to complex, ambiguous problems across multiple domains
- Excited to work cross-functionally with technical and non-technical teams, effectively communicating technical capabilities and limitations to diverse stakeholders
- Nose for value – you can identify high-impact AI opportunities and drive adoption of new technologies
Responsibilities
- Become an expert in Pomelo’s business model and patient experience, identifying opportunities for AI product development
- Complete exploratory analyses to inform development of AI features, such as conversation topic categorization and patient journey segmentations
- Contribute to the development of AI-powered features and products, such as content generation, clinical decision support, and automated workflows
- Collaborate with engineers on the full product lifecycle from research and prototyping to implementation and performance monitoring across multiple product areas
- Build robust data pipelines and analytics infrastructure to support AI model training, evaluation, and performance tracking
- Execute comprehensive analyses to measure AI product performance, conduct A/B tests, and quantify the impact of AI-driven features on clinical and business outcomes
Preferred Qualifications
- Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications
- Background in healthcare AI, clinical decision support, or medical NLP
- Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
- Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)
