• Design, build, and refine machine learning models that identify members at high risk for costly MSK interventions using claims, EMR, and enriched external data. • Own the technical architecture for Predict's data pipelines, ensuring reliable ingestion, transformation, and delivery of healthcare data at scale. • Establish and maintain ML ops practices—model versioning, monitoring, retraining pipelines, and performance tracking. • Conduct rigorous analysis of algorithm performance, cost curve impact, and ROI delivered to clients. • Stay current on healthcare data standards, regulatory requirements, and industry best practices. • Work closely and collaboratively with Sword’s Data team to ensure Predict’s work is embedded within the Tech team’s overall infrastructure and best practices. • Manage, mentor, and grow a team of data scientists and data engineers. • Set clear goals, provide regular feedback, and create development opportunities for each team member. • Foster a culture of intellectual rigor, collaboration, and continuous improvement. • Hire additional team members as Predict scales. • Serve as Predict's technical subject matter expert in client meetings, sales cycles, and implementation discussions. • Translate complex data science concepts into clear, compelling narratives for non-technical audiences. • Partner with customer success and sales teams to demonstrate Predict's value proposition and build client confidence. • Support business reviews, QBRs, and strategic discussions with data-driven insights alongside our Health Economics & Customer Insights team. • Work closely with product and engineering teams to align Predict's technical roadmap with platform strategy. • Collaborate with health economics to validate clinical and financial outcomes. • Partner with data access and integration teams to expand the data assets available for Predict models.