Senior Data Scientist - Claims Modeling & Audit (Remote)

The Rawlings Group

United States

Remote

USD 180,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Remote US work
Health benefits
Tuition reimbursement
401(k) match
Unlimited PTO
Wellness perks
Flexible work environment

Job summary

Machinify is a leading healthcare intelligence company that builds ML models to audit claims and identify errors across major health plans in the US. We are seeking a Sr. Data Scientist to advance our modeling framework, scale data pipelines, and deliver measurable business impact for our clients.

You will own model development, feature engineering, and rigorous evaluation, contributing to scalable solutions that reduce waste and improve financial outcomes in healthcare.

Qualifications

  • Experience building ML models using modern approaches (neural nets or tree ensembles).
  • Strong SQL skills and ability to handle large-scale data.
  • Proficiency in Python or R for data analysis and modeling.

Responsibilities

  • Master Claim Audits: analyze data that drives audit decisions and outcomes.
  • Model Advancement: curate labeled data, engineer features, and develop models to target audits.
  • Optimize Impact: measure model performance and translate results into actionable insights for clients.
  • Tame Complexity: refine complex data pipelines from messy workflows for robust modeling.
  • Drive Team Success: improve data pipelines, modeling infrastructure, and tooling.
  • Grow with Healthcare: deepen healthcare data expertise and align insights with business needs.

Skills

SQL
Python/R
ML modeling
Neural nets / tree ensembles

Job description

Machinify is a leading healthcare intelligence company that builds ML models to audit claims and identify errors across major health plans in the US. We are seeking a Sr. Data Scientist to advance our modeling framework, scale data pipelines, and deliver measurable business impact for our clients.

You will own model development, feature engineering, and rigorous evaluation, contributing to scalable solutions that reduce waste and improve financial outcomes in healthcare.

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