Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Machinify

Staff Data Scientist – ML

Machinify

Data Scientist creating machine learning models for healthcare payment solutions at Machinify. Driving initiatives and building ML solutions for improved business outcomes.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
GoSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data scienceSQLmachine learningLLMmodelingdata explorationdata validationproduction ML systemsmetrics developmentworkflow design
Soft Skills
communicationproblem-solvingleadershipcross-functional collaborationmentorshipinfluencetechnical directionindependent workscope managementanalytical thinking