Machinify
healthcare intelligence
StaffDataScientist|ML
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Data Scientist | ML at Machinify. Skills: end-to-end data science work, building and productionizing models, technical frameworks and tools. Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact. Lead high-impact initiatives”
What You'll Achieve.
deliver measurable revenue or cost improvements; achieve greater scale and improved business outcomes; significantly outperform industry standards
Industry & Context.
Solve real business problems with data; independently scope ambiguous problems; identify the right data and methods
What They're Looking For.
Must Have
SQL proficiency, 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, communication skills
Nice to Have
some exposure to LLM-based products or workflows
What You'll Do.
Own end-to-end data science work
from problem framing and data exploration to modeling
and production impact
Lead high-impact initiatives
Innovate on methods and approaches
Build and productionize models
Work deeply with data
Influence cross-functionally
Set technical direction
Raise the bar for data science quality
and impact across the organization through mentorship
and technical leadership
How You'll Work.
Team & Collaboration
Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans; collaboration with engineering and product partners
Communication Scope
communication skills; ability to explain complex analyses and models to non-technical stakeholders
Process & Methodology
independently scope ambiguous problems, drive work to completion
Full Job Description
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 colla
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