Machinify Logo

Machinify

Staff Data Scientist | ML

Reposted One Month Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.
The summary above was generated by AI

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/

Machinify Palo Alto, California, USA Office

Downtown Palo Alto is known for its lively style, trendy shops, plenty of bars, restaurants and great coffee stores. The office is easy to get to, and just a couple of minutes walk from the Caltrain station.

Similar Jobs

One Month Ago
Remote
United States
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning
Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.
Top Skills: PysparkPythonPyTorchSQL
19 Minutes Ago
Easy Apply
Remote or Hybrid
11 Locations
Easy Apply
80K-95K Annually
Senior level
80K-95K Annually
Senior level
Edtech • Kids + Family • Social Impact • Software
Leads learning design for K-8 digital education content initiatives from brief through launch. Develops instructional frameworks, assessment items, content specifications, quality standards, and grade-band differentiation. Provides feedback and upskills learning designers, partners with product and editorial teams, and contributes to AI-assisted content workflows through prompt design, output evaluation, and quality rubrics. Requires strong assessment writing, curriculum expertise, standards knowledge, initiative leadership, and experience designing for multilingual learners.
Top Skills: Ai-Assisted Content WorkflowsArtificial IntelligenceCcssCmsEld StandardsNgssPrompt DesignWida
30 Minutes Ago
Remote or Hybrid
USA
238K-465K Annually
Expert/Leader
238K-465K Annually
Expert/Leader
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Lead a 10+ person marketing science team to centralize customer segmentation, programmatic media and audience strategy, marketing analytics and BI, attribution (lift and econometrics), ad operations, privacy/compliance, and martech. Build data products and automation for scalable media activation, provide reporting and insights for stakeholders and ELT, and collaborate cross-functionally to align measurement and marketing strategy.
Top Skills: Ad OperationsAi ToolsBusiness IntelligenceCustomer SegmentationEconometric ModelingLift MeasurementMarketing AutomationMartechProgrammatic Media

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account