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Data Scientist

  • Permanent
  • $200,000 - $220,000
  • Remote, United States
  • Data Science & Analytics
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Public Advert

Public Advert

Staff Machine Learning Engineer
$200,000 base - $220,000 Base + 10% bonus
Remote – Select U.S. States
AI-powered healthcare recovery platform

Revecore is driving real impact in the healthcare industry by helping providers recover underpaid and denied claims. Backed by a leading private equity firm and handling over 100 million claims annually, they’re now investing heavily in AI/ML to modernize their operations and unlock new efficiencies.

This is a Staff-level Machine Learning Engineer role focused on full-lifecycle model development to improve how claims are prioritized, matched, and processed. You’ll join a lean, highly technical team working directly on revenue-critical workflows and partner cross-functionally with analysts and business teams who are actively using your models.

What You’ll Do

  • Design, train, deploy, and iterate ML models that rank claims and identify recovery opportunities.
  • Apply deep statistical thinking, including causal inference and experimental design, to improve model performance.
  • Analyze messy, high-dimensional healthcare data and surface insights that inform ops decisions.
  • Collaborate with data engineers, analysts, and domain experts to move models into production.
  • Evaluate impact metrics and continuously refine performance based on business outcomes.

What You Bring

  • 8–12+ years of experience building and improving ML models in production.
  • ???????Strong fluency in Python and libraries like scikit-learn, TensorFlow, PyTorch, and Hugging Face.
  • Proven ability to wrangle complex datasets and uncover meaningful patterns.
  • Background in causal inference, experimentation, or applied statistics is strongly preferred.
  • Experience with MLOps, Spark, or cloud ML environments (AWS, GCP) is a bonus.

Tech Stack & Collaboration Environment

  • Python, Spark, scikit-learn, TensorFlow, Hugging Face
  • ???????Cloud-hosted infrastructure and evolving MLOps practices
  • Cross-functional input from engineering, analytics, and operations teams
  • Models currently in pilot with feedback loops from real users

Why Join

  • Tackle high-impact problems—Revecore can only process a fraction of the claims they receive, and ML can change that.
  • ???????Work alongside technical leaders with deep expertise in modeling and statistical inference.
  • Be part of a serious but reasoned AI transformation with executive support and clear business applications.
  • Flexible remote work from approved states across the U.S.

At People In AI, we specialize in placing top ML and data talent at companies using AI for real business impact. We’re here to provide insight, prep, and a clear-eyed view of how each opportunity fits your goals. Apply now to learn more.

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