Pomelo Care is looking to bring on a data scientist to join their Patient Experience team to drive the development of next-generation products that keep patients engaged throughout their care journey. Patient engagement and retention are critical to Pomelo's mission to improve pregnancy outcomes.
Requirements
- Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
- Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
- 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)
Responsibilities
- Complete exploratory analyses to inform development of engagement-focused features, such as conversation topic categorization and patient journey segmentations
- Contribute to the development of AI-powered features and products, such as content generation, dynamic intake forms and internal efficiency 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 measure patient engagement, track retention metrics, and optimize product performance
- Execute comprehensive analyses to measure product performance, conduct A/B tests, and quantify the impact of new features on clinical and business outcomes
- Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development
Other
- Become an expert in patient behavior, engagement patterns, and retention drivers, playing a foundational role in shaping Pomelo's patient experience strategy
- Passionate about improving maternal health outcomes and creating exceptional patient experiences
- Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
- Excited to work cross-functionally with Product, Engineering, Clinical, and other teams, translating technical insights for non-technical stakeholders
- A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
