Data Scientist

Role Description

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

Who you are

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

Bonus points if you have any of the following

• 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)

Why you should join our team

By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it.

We strive to create an environment where employees from all backgrounds are respected. We also offer:

• Competitive healthcare benefits
• Generous equity compensation
• Unlimited vacation

At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.