Data Scientist, Pomelo Care

• You are an AI-focused data scientist and product thinker who is passionate about applying technology to healthcare challenges, and excited to work at a startup
• You have 6+ years professional experience in a data science role with a focus on product development
• You have 3+ years professional experience working in healthcare or regulated industries
• You have 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

Desirable

• We're looking to bring on an experienced data scientist to develop AI-powered products across our platform
• As a data scientist focused on AI product development, you will design, build, and optimize intelligent systems that enhance our clinical programs, drive patient engagement, and create new capabilities for our care teams and patients
• Build and scale AI-driven products that improve the lives of moms and babies
• 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