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Staff Data Scientist | ML

Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Remote — work setting source
Listed location: Remote - US
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Proven hands-on data science impact on real-world problems
  • Strong proficiency in SQL on complex, large-scale datasets
  • Experience building, shipping, or supporting production ML systems
  • Ability to independently scope ambiguous problems and drive work to completion
  • Strong communication with non-technical stakeholders
Qualification wording
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.

Benefits in the posting

Full benefits wording
  • Top Medical/Dental/Vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary, 401(k) with company match
  • Unlimited PTO
  • Additional health and wellness benefits and perks
  • 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.
  • Equal Employment Opportunity at Machinify

From the employer’s posting.

Apply at Machinify

Posting record

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Status in our records
Live
First seen by us
Aug 12, 202683 days ago
Recorded sightings
49
Last seen by us
Nov 4, 2026
Employer says posted
May 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Machinify is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

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  • SQL
Where the posting names them
- 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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About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 

  • Work from anywhere in the US! Machinify is digital-first.
  • Top Medical/Dental/Vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary, 401(k) with company match
  • Unlimited PTO
  • Additional health and wellness benefits and perks
  • Flexible and trusting environment where you’ll feel empowered to do your best work 

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.

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/
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Pay

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Location & working pattern

Remote - US

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Work authorization
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/

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