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Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies. Own the data strategy for our Growth and Patient Experience team with a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.
Job Responsibility:
Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy
Build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development
Requirements:
6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
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
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
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)
Nice to have:
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