Senior Data Scientist

Who We Are : At Synapse Health, we're streamlining the durable medical equipment (DME) process. We manage intake, documentation, routing, claims, billing, and patient support. Our model reshapes how DME is delivered and experienced. Since 2016, with decades of industry and leadership experience, we've delivered tech-based solutions that help our partners to modernize operations, improve coordination, and reduce administrative burdens. By taking on operational and financial complexity, we're redefining how DME works for providers, prescribers, and patients. We are proud to offer work that matters, on a mission that matter s . Learn more at SynapseHealth.com and on Synapse Health’s LinkedIn . What We Need : The Sr. Data Scientist reports directly to the Director of Data Science and Analytics (or a Staff Data Scientist, depending on team structure). Our operations team processes tens of thousands of DME orders every day, and we've now processed millions of orders overall — giving us the data to build real prediction engines rather than just react order by order. This role works generally independently and collaboratively, contributing to the moderately complex pieces of the roadmap: you own well-scoped problems end to end, but you're not expected to define the technical strategy for an entire domain the way a Staff Data Scientist would. The problems you'll contribute to include: Vendor matching — build and iterate on models that decide which vendor fulfills each incoming order Order routing — build predictive models that flag orders at risk of delay based on historical patterns Supply chain optimization — apply the frameworks and methods a Staff Data Scientist or the Director has set up to find and quantify specific bottlenecks Agentic AI — implement and test components of the decision logic that more senior team members are architecting This mandate isn't fixed — as Synapse's data science footprint grows into Revenue Cycle Management, Finance initiatives like anomaly detection, and beyond, this role is expected to flex alongside the rest of the team. What You Will Do : Own models end to end across vendor matching, order routing, or supply chain optimization, expanding into new problem areas as priorities shift Build components of the confidence thresholds and decision logic that push the team's work toward agentic AI Quantify the impact of your own work with real numbers, not assumptions Ship models end to end, from experimentation through production, in close partnership with data engineering </spa