Senior Data Scientist (Healthcare)

Location: Remote nationwide in the United States; occasional travel to hirify.global offices for training or meetings may be required.

Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company providing insurance and healthcare services to Medicare, Medicaid, military, individual, and community populations.

What you will do

• Partner with utilization management, clinical, and business teams to identify opportunities that improve healthcare quality, member outcomes, affordability, and provider experience.
• Design, develop, validate, implement, and monitor predictive models for clinical risk, utilization trends, quality gaps, and intervention opportunities.
• Apply statistical modeling, machine learning, and advanced analytics to support population health and healthcare decision-making.
• Build and maintain analytical datasets and features using medical, pharmacy, laboratory, and provider claims data.
• Translate complex healthcare problems and analytical findings into actionable recommendations for technical and non-technical stakeholders.
• Research scalable analytical approaches and contribute to modeling standards, best practices, and reusable frameworks.

Requirements

• Master's degree in statistics, biostatistics, data science, economics, mathematics, computer science, clinical informatics, or a related quantitative discipline.
• At least 4 years of experience developing, validating, and implementing predictive models in healthcare, managed care, population health, or a related environment.
• Experience independently developing predictive models that influenced clinical, operational, or financial outcomes.
• Advanced proficiency in Python, R, SAS, or similar programming languages for statistical analysis and machine learning.
• Experience working with large healthcare datasets, including claims, clinical, pharmacy, or laboratory data.
• Knowledge of statistical modeling, machine learning, model validation, performance evaluation, and communicating analytical recommendations.

Nice to have

• Experience with risk stratification, utilization management, care management, value-based care, or managed care.
• Experience with causal inference, causal machine learning, NLP, or deep learning.
• Experience with Spark or PySpark and deploying or monitoring machine learning models in production.
• Familiarity with EMR data such as Epic.

Culture & Benefits

• Full-time schedule of 40 hours per week with remote work from a dedicated, interruption-free workspace.
• Home internet must provide at least 25 Mbps download and 10 Mbps upload speeds.
• Benefits include medical, dental, and vision coverage, a 401(k) retirement savings plan, paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
• Work supports whole-person well-being and personal wellness.