Data Scientist, Pomelo Care

• You have 3+ years professional experience in data analytics, data science, data engineering, or statistical analysis involving SQL
• You have 3+ years professional experience working in healthcare
• Proficient in at least one programming language (e.g., Python)
• Passionate about improving maternal health outcomes
• Experienced scoping and implementing data-driven solutions to ambiguous problems, prioritizing efficacy over complexity
• Excited to work cross-functionally across technical and non-technical stakeholders, including folks who do not share your technical expertise
• 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: Create, analyze, and visualize foundational data that we can use to improve the lives of moms and babies
• We’re looking to bring on an experienced data scientist to build and improve the tools we use to deliver care to patients
• Trustworthy, actionable data plays a critical role in Pomelo’s mission to improve pregnancy outcomes
• As a data scientist, you will generate data and insights that guide the development of our virtual care platform and patient care model
• Become an expert in the data that Pomelo has about our patient care and clinical outcomes, and play a foundational role in building the data culture of Pomelo
• Collaborate on designing and implementing new systems that enable our clinical team to deliver personalized, data-driven care
• Complete exploratory analyses to inform development of new tools and product features, such as conversation topic categorization and patient journey segmentations
• Define and implement metrics that measure the performance of Pomelo’s tools and products
• Develop algorithms to identify high priority patients and guide clinician engagement and interventions
• Leverage AI to transform unstructured data on patient care into actionable insights that improve patient experience and outcomes
• Identify opportunities to use data to improve how we provide patient care, and collaborate with cross-functional stakeholders to develop and implement new tools, models, and processes at the point of care