Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Remote - US
Live, first seen by us 83 days agoListed location: Remote - USRead the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Own end-to-end data science work from problem framing to production impact
Lead complex initiatives such as vendor leakage detection and prevention
Design, build, and support production ML or LLM-powered solutions
Develop new metrics, models, or workflows when existing approaches fall short
Mentor and set technical direction through design reviews
Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact.
Drive complex efforts such as vendor leakage detection and prevention
Design, build, and support production ML or LLM-powered solutions
developing new metrics, models, or workflows when existing approaches fall short
through mentorship, design reviews, and technical leadership
Proven track record of hands-on data science impact on real-world problems
Strong proficiency in SQL, with experience working directly on complex, large-scale datasets.
Experience building, shipping, or supporting production ML systems
Ability to independently scope ambiguous problems, identify the right data and methods, and drive work to completion.
Strong communication skills, with the ability to explain complex analyses and models to non-technical stakeholders.
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 83
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners. - Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results. - Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans.
- Proven track record of hands-on data science impact on real-world problems, not just research or dashboards. - Strong proficiency in SQL, with experience working directly on complex, large-scale datasets. - Experience building, shipping, or supporting production ML systems, preferably some exposure to LLM-based products or workflows.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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 85 health plans, including many of the top 20, and representing more than 270 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 Staff 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.
What You'll Do
Solve real business problems with data: Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact.
Lead high-impact initiatives: Drive complex efforts such as vendor leakage detection and prevention, delivering measurable revenue or cost improvements.
Innovate on methods and approaches: Go beyond standard analyses by developing new metrics, models, or workflows when existing approaches fall short.
Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners.
Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results.
Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans.
Set technical direction (especially at L7): Raise the bar for data science quality, scalability, and impact across the organization through mentorship, design reviews, and technical leadership.
What You'll Bring
Proven track record of hands-on data science impact on real-world problems, not just research or dashboards.
Strong proficiency in SQL, with experience working directly on complex, large-scale datasets.
Experience building, shipping, or supporting production ML systems, preferably some exposure to LLM-based products or workflows.
Ability to independently scope ambiguous problems, identify the right data and methods, and drive work to completion.
Strong communication skills, with the ability to explain complex analyses and models to non-technical stakeholders.
What We Offer
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, 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.
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Remote - US
Working pattern and location restrictions need checking in the full posting.
Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/