data
Posted Feb 24Staff Data Scientist | Fraud / Billing
at Machinify
United StatesRemote
Responsibilities
- Build and ship classical ML and GenAI pipelines that surface, rank, and explain candidate billing error, audit, and fraud concepts across large-scale healthcare claims data •
- Accelerate concept generation and concept validation with SMEs by designing human-in-the-loop workflows that enable high-throughput review with strong precision, recall, and traceability •
- Own end-to-end delivery from problem framing and data strategy to model development, evaluation, deployment, and monitoring, with a focus on reliability and customer outcomes •
- Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment • •
Requirements
- Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise.
- This role will be responsible for leading the build and deployment of classical ML and GenAI systems that generate and validate billing error, audit, and fraud concepts in healthcare payments.
- Degree in Computer Science, Engineering, or a related field •
- experience in building and leading high-performing teams •
- Ability to think strategically and execute methodically •
- Ability to communicate effectively, collaborating with diverse groups to solve complex problems •
Experience
- 5+ years of professional data science experience •
Benefits
- We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
- Top Medical/Dental/Vision offerings FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match Unlimited PTO