Senior Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Synapse Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏥 Healthcare

☁️ SaaS

🤝 B2B

Healthcare • SaaS • B2B

Synapse Health is a company that builds connected solutions to streamline the durable medical equipment (DME) lifecycle—from prescriber documentation and ordering through fulfillment, delivery, and resupply. Their offerings include a patient portal, InHome services for prescribers/providers, and Equip for skilled nursing and hospice. Synapse partners with DME providers and health plans, operates nationwide with 300+ subcontracted DME providers, and focuses on improving access to equipment like oxygen, wheelchairs, ventilators, diabetic supplies, and more. The company emphasizes reducing delays, errors, and administrative waste, improving patient communication, operational consistency, and faster payments.

📋 Description

• Build and iterate on vendor-matching models that determine which vendor fulfills each incoming order • Build predictive models to flag orders at risk of delay based on historical patterns • Apply established frameworks and methods to identify and quantify supply-chain bottlenecks • Implement and test components of decision logic for agentic AI • Own models end to end across vendor matching, order routing, and supply-chain optimization • Build confidence thresholds and decision-logic components for agentic AI • Quantify the impact of work using real numbers • Ship models from experimentation through production in partnership with data engineering • Apply predictive ML, causal ML, reinforcement learning, or operations research to well-scoped problems • Write clear technical documentation • Participate in quarterly planning and take on roadmap work • Adapt as the team's scope expands into Revenue Cycle Management, Finance, and other domains • Report directly to the Director of Data Science and Analytics or a Staff Data Scientist, depending on team structure

🎯 Requirements

• Master's degree required in a quantitative field (Computer Science, Statistics, Data Science, Operations Research, or related) • 4–7 years in data science • Prior experience at an early-stage healthcare startup • Hands-on expertise in claims data and other healthcare data • Strong technical foundation in predictive machine learning, including classification, regression, and forecasting • Strong hands-on proficiency in Python and SQL; able to write, debug, and optimize production-quality code • Understands the full software development lifecycle and works fluently with GitHub, including version control, branching strategies, pull requests, and code review • Track record shipping machine learning models into production in partnership with data engineering • Ability to write clear technical documentation • Effective verbal and written communication skills, including presenting findings to technical and non-technical stakeholders • Strong analytical and organizational skills, managing multiple workstreams and priorities • Comfortable operating in a high-pressure, ambiguous environment where priorities shift • Hands-on experience in several of the following areas: reinforcement learning, operations research methods, causal inference, health economics or healthcare claims data, and agentic AI tools or frameworks

🏖️ Benefits

• Professional growth opportunities with compelling career paths • Healthy work-life balance supported by flexible paid time off (PTO) • Comprehensive benefits package, including medical, dental, vision, STD & LTD insurance for full-time team members • 401(k) savings plan with employer matching contributions

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume