Data Scientist, Pomelo Care

• You are a product-minded data scientist and innovative problem solver who thrives on building solutions that directly impact patient lives, and excited to work at a startup. Specifically,
• You have 4+ years professional experience in data science, product analytics, or data engineering
• You have 2+ years professional experience working in healthcare or consumer health 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
• 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

Desirable

• Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies
• We're looking to bring on a data scientist to join our Patient Experience team and 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
• As a member of the Patient Experience team, you will design, build, and optimize products that create meaningful connections with our patients and drive sustained engagement. Specifically, you will:
• Become an expert in patient behavior, engagement patterns, and retention drivers, playing a foundational role in shaping Pomelo's patient experience strategy
• 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