Data Scientist | ML

Overview

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering value, transparency, and efficiency to health plan clients nationwide. With deployments by over 60 health plans and representing more than 160 million lives, Machinify offers a configurable, AI-powered platform along with expertise to maximize financial outcomes and reduce healthcare costs.

We build machine learning models for some of the largest health plans to identify nearly $1B in erroneous healthcare payments. Our production models detect and stop errors daily, resulting in measurable savings. Machinify is growing quickly as a small company evolving in a fast-paced industry.

We are looking for a Staff Data Scientist | ML for our "Pay" team (claims payments product) to advance our models and create technical frameworks and tools to help the team scale and improve business outcomes.

• 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:
  Develop new metrics, models, or workflows when existing approaches fall short.

• Build and product ionize 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 through mentorship, design reviews, and technical leadership.

• 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.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

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