Sr. Data Scientist | Modeling
About The Position
Machinify is a healthcare intelligence company providing an AI-powered platform and expertise to health plans. Its team develops machine learning models that help large insurance payers select claims for audit, identify claims errors, and recover improper payments. The models address the challenge of auditing only a small share of the tens of millions of claims payers receive each year. The Sr. Data Scientist | Modeling will advance these models and create technical frameworks and tools that help the team scale and improve business outcomes. The role involves understanding clinical and coding audits, developing and evaluating claim-selection models, refining complex data pipelines, and collaborating with clients and internal experts to ensure model insights meet real business needs. The position is digital-first and can be performed from anywhere in the US.
Requirements
- Successful experience solving real-world business problems involving data-driven optimization and machine learning modeling.
- Comfort measuring and optimizing the direct business impact of work.
- Experience with SQL and large-scale data.
- Proficiency with at least one programming language, such as Python or R.
- Experience building machine learning models from scratch for new applications using modern approaches such as neural networks or tree ensembles.
- Ability to make decisions about supervised labels, optimization metrics, and useful features.
Responsibilities
- Investigate clinical and coding audits, the data behind audit decisions, and historical outcomes.
- Curate labeled data, develop hypotheses for new features, and build machine learning models to select claims for audit with greater precision.
- Rigorously measure model performance and translate results into operational insights and recommendations for clients.
- Refine complex, often unclean or undefined data pipelines derived from business workflows for robust modeling.
- Enhance data pipelines, modeling infrastructure, and team tools to improve the team's capabilities and decision-making efficiency.
- Build expertise in healthcare data and work with clients and internal experts to refine model insights and align them with business needs.
Benefits
- Medical, dental, and vision offerings
- Flexible spending account and health savings account
- Tuition reimbursement
- 401(k) with company match
- Unlimited paid time off
- Additional health and wellness benefits and perks
- Flexible and trusting work environment
- Meaningful equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
