Data Scientist | Pay

Posted 19 Days Ago
2 Locations
Remote
Mid level
Machine Learning • Software
We develop software that helps people get the right medical care, at the right time, at the right price.
The Role
As a Data Scientist, you will improve healthcare claims payment models, optimize performance, and advance team capabilities by enhancing tools and infrastructure.
Summary Generated by Built In

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

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 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.

What You’ll Do:

  • 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 You’ll Bring:

  • 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


The base salary for this position will vary based on an array of factors unique to each candidate such as qualifications, years and depth of experience, skill set, certifications, etc. The base salary range for this role is $180-200k. We are hiring for different seniorities, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. 

Top Skills

AI
Data Processing
Machine Learning
Python
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The Company
HQ: Palo Alto, CA
96 Employees
On-site Workplace
Year Founded: 2016

What We Do

Machinify is an AI start-up in the Healthcare space. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems in the healthcare industry impacting millions of lives.

Why Work With Us

We are a heavily cross-functional, collaborative diverse team working together to solve big problems that matter. If you are looking for an exciting environment where you'll be challenged to do the best work of your career, consider joining us!

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