Data Scientist | ML

Machinify • Palo Alto, CA

3d

About The Position

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. 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.
Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly!
We are looking for a Data Scientist | ML for our "Pay" team (claims payments product) 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.

Requirements

• Several years of experience solving real-world business problems with data and ML modeling
• Proven ability to make team-level contributions and develop frameworks and tools to improve the work of many
• Able to build a high-level, strategic work plan while keeping attention to detail
• Experience precisely measuring and optimizing the business impact of your work
• Experience handling large-scale, complex data which may not be clean or well-defined
• Experience writing production-quality code (i.e. building pipelines, productionizing models) and overcoming practical challenges to deploy a model
• Deep curiosity about healthcare

Responsibilities

• Master understanding of various claims payment policies and healthcare concepts.
• Build and improve the models by thoughtfully curating data and creating features.
• Precisely measure and improve model performance against real-world outcomes. Make operational recommendations to the customer to optimize model results.
• Interpret and refine large-scale data created by complex business workflows.
• Advance the team’s capabilities by improving pipelines, infrastructure, and tools.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees