Data Scientist
5 days ago
Machinify is a leading provider of AI-powered software products transforming healthcare claims and payment operations. Each year, the healthcare industry generates over $200 billion in claims mispayments, creating waste, friction, and frustration for patients, providers, and payers.
We build machine learning models for large health plans to identify and audit claims errors from simple mistakes to outright fraud. Our claim selection models help select the right claims to audit, recovering hundreds of millions of dollars annually and reducing wasted medical spend.
We're seeking a Staff Data Scientist to advance our models further. This person will build best-in-class models, create technical frameworks, and tools to achieve greater scale and improved business outcomes.
Key Responsibilities- Dive into clinical and coding audits, unpacking data that drives audit decisions, and understanding past outcomes.
- Curate labeled data, hypothesize new features, and develop ML models targeting claims for audit with precision.
- Measure model performance rigorously, translating outcomes into operational insights and recommendations.
- Tame complexity by refining vast, nuanced data pipelines derived from intricate business workflows.
- Enhance data pipelines, modeling infrastructure, and team tools to level up capabilities and decision-making efficiency.
- Solving real-world business problems involving data-driven optimization and ML modeling.
- Measuring and optimizing direct business impact.
- Experience with SQL, handling large-scale data, and at least one programming language (Python, R, etc.).
- Building ML models using modern approaches like Neural Nets or Tree-ensembles from scratch.
The estimated salary range for this role is $220,000-$270,000 per year, depending on qualifications, experience, and skill set. The total compensation package includes meaningful equity, excellent healthcare, flexible time off, and other benefits.
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