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# Data Scientist | Modeling

- **Company:** Machinify, Inc.
- **Location:** La Grange, KY, United States
- **Salary:** $180,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Big Data, Python (Programming Language), Machine Learning, SQL Databases, Data Pipelines, Programming Languages
- **Published:** July 14, 2026
- **Apply:** https://www.juju.com/job/00000000ggi34h

## About the Role

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 comfortable measuring and optimizing the direct business impact of work.

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

## Description

We are looking for aData Scientist to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes.

What You'll Do:

Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes.

M Odel Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision.

Optimize Impact: Measure m odel performance rigorously, translating outcomes into operational insights and recommendations for our clients.

Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows-often unclean and undefined-to refine them for robust modeling.

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. Engage with clients and internal experts to refine m odel insights, ensuring alignment with real business needs.


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