Staff Data Scientist - Synapse Health

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 Staff Data Scientist reports directly to the Director of Data Science and Analytics. 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 is a senior, highly independent IC: you don't manage people, but you're expected to own hard problems end to end, mentor senior data scientists on the team, and bring the technical judgment of someone who could.

The problems we need to solve include:

• Vendor matching — deciding which vendor fulfills each incoming order, optimizing for patient experience, delivery speed, and cost. Requires strong predictive ML (classification, regression) and optimization skills.
• Order routing — identifying the most efficient path from order creation to delivery and flagging orders at risk of delay. Requires predictive ML and, ideally, reinforcement learning for sequencing decisions over time.
• Supply chain optimization — finding root-cause bottlenecks across in-flow and out-flow and quantifying the counterfactual impact of fixing them. Requires operations research methods (queueing theory, network flow optimization, discrete event simulation) and causal inference.