# Data Scientist | Modeling

**Company:** [Machinify](https://hotfix.jobs/companies/machinify)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $180k – $230k/yr
**Skills:** SQL, Python, R, Machine Learning, Neural Networks, Tree Ensembles, Data Pipelines
**Posted:** 2026-04-04

> Develop and advance ML models to select healthcare claims for auditing, improving precision and recovering millions in overpayments for large health plans. Requires experience with SQL, Python/R, and building modern ML models from scratch.

## Job Description

## 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.
- Model Advancement: Curate labeled data, hypothesize new features, and develop **ML models** that target claims for audit with even greater precision.
- Optimize Impact: Measure model 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 model insights, ensuring alignment with real business needs.

## What You Bring
- Enjoy solving real-world business problems involving data-driven optimization and **ML modeling** - and have been doing that successfully for a while.
- Comfortable measuring and optimizing the direct business impact of work.
- Experienced with **SQL**, handling large-scale data, and comfortable with at least one programming language (**Python**, **R**, etc.).
- 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.

## What We Offer
- Work from anywhere in the US!
- **Salary** range from **$180k-$230k+** based on level and experience, plus equity, healthcare, unlimited PTO, and more.

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