Senior Data Scientist

As a Senior Data Scientist, you will be a key technical leader on their core data products. Your primary focus will be building and deploying predictive machine learning models using large-scale, complex datasets - including consumer data, survey data, and extensive geospatial information.

You will take ownership not only of modeling and metric development but also of the end-to-end ML lifecycle, including deployment and monitoring using modern MLOps frameworks. Collaboration with data engineers and cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation in how healthcare behaviors are understood and acted upon.

• PhD in a quantitative or scientific field, with proven commercial experience as a Data Scientist or ML Engineer
• Exposure to behavioral or consumer data is essential, preferably in the Healthcare space
• Strong Python skills and experience with Databricks or similar platforms
• Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar)
• Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure)
• Proactive, creative problem solver with a startup mindset and strong communication skills
• Comfortable taking technical ownership and leading ML projects from end to end

I’m working with a mission-driven healthcare technology company that leverages real-world data to improve health outcomes and equity. They focus on understanding the complex social and behavioral factors that influence healthcare decisions, going beyond traditional clinical data. The company has evolved from a nonprofit origin into a fast-growing, globally distributed tech organization.

They generate revenue through consulting with pharmaceutical clients and by offering innovative data products aimed at transforming healthcare strategies.