Himalayas logo
MachinifyMA

Staff Data Scientist | Modeling

Machinify is a revolutionary healthcare software company with a mission to ensure that patients get the right treatment, at the right time, at the right price. The cloud-based Machinify AI platform delivers products that are transforming healthcare administration from a human-powered, error-prone series of spreadsheets workflows to a world of transparent, realtime care and payment decisions.

Machinify

Employee count: 51-200

United States only

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.

Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made.

We are looking for a Staff Data 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.

  • 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:

  • 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

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.

See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Machinify

Learn more about Machinify and their company culture.

View company profile

We develop software that helps people get the right medical care, at the right time, at the right price.

The $4 trillion healthcare industry is the largest and most complex sector of the U.S. economy. It involves maze-like processes, arcane rules, a multi-party payment system... and the yearly processing of 7 billion health claims.

Healthcare data is fragmented across industry players, stored in legacy systems, and is often unstructured and not machine-readable (think faxes).

We started Machinify to leverage healthcare data at scale to drive down costs and improve outcomes. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems.

Employee benefits

Learn about the employee benefits and perks provided at Machinify.

View benefits

Retirement benefits

401(k) sponsorship to help you invest in your future.

Equity benefits

Every employee gets equity, so you are rewarded for your best work.

Paid parental leave

We offer inclusive paid parental leave for birth and non-birth parents.

Generous paid time-off

Take the time you need when life happens. Our flexible PTO plan encourages people to take time off so they can recharge and live fully.

View Machinify's employee benefits
Claim this profileMachinify logoMA

Machinify

Company size

51-200 employees

Founded in

2015

Chief executive officer

Prasanna Ganesan

Employees live in

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

8 remote jobs at Machinify

Explore the variety of open remote roles at Machinify, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Machinify

Remote companies like Machinify

Find your next opportunity by exploring profiles of companies that are similar to Machinify. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan