data
Posted Apr 4Data Scientist | Modeling
at Machinify
United StatesRemote
Responsibilities
- Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. •
- Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. •
- Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry.
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.
- Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud.
- Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. •
- Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. •
- You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while. •
- You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.). • You have
- experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful
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.
- Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%.
- Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend.