Senior Payer Data Scientist & Analytics Lead

Energy Jobline ZR; Tampa (FL); On-site; USD 120,000 - 170,000; Full time

Job summary

Energy Jobline ZR is seeking a senior data science leader to apply advanced analytics to large claims and clinical datasets in the US healthcare space. The role focuses on reducing costs, improving population health, and mentoring teams while managing key client relationships.

The ideal candidate will hold a Master’s degree in a quantitative field and have 6+ years of data science/ML experience, including NLP and familiarity with payer programs such as NCQA HEDIS and CMS Star Ratings.

Qualifications

• Bachelor's degree in a related field.
• Master's degree in Statistics, CS, Applied Mathematics or Biotechnology.
• 6+ years of experience in data science and ML.
• Experience with NLP or unstructured clinical text.
• Consulting or advisory firm experience.
• Familiarity with NCQA HEDIS specifications and CMS Star Ratings.
• Knowledge of government payer programs and Medicaid.

Responsibilities

• Apply advanced data science and ML to analyze claims and clinical data.
• Generate insights to reduce healthcare costs and improve population health.
• Lead and mentor analytics teams and manage client relationships and expectations.
• Secure successful project execution while upholding quality standards.
• Collaborate with industry leaders to develop innovative analytics solutions.
• Present findings to senior stakeholders, including Chief Actuaries.
• Play a key role in developing new analytics products for payer strategies.
• Foster a culture of continuous improvement and knowledge sharing within the team.

Skills

Data science

Machine learning

Leadership

Client management

Education

Master's degree in Statistics/CS/Applied Math/Biotechnology

Bachelor's degree

Tools

NLP tools

NCQA HEDIS knowledge

CMS Star Ratings

Job description

Energy Jobline ZR is seeking a senior data science leader to apply advanced analytics to large claims and clinical datasets in the US healthcare space. The role focuses on reducing costs, improving population health, and mentoring teams while managing key client relationships.

The ideal candidate will hold a Master’s degree in a quantitative field and have 6+ years of data science/ML experience, including NLP and familiarity with payer programs such as NCQA HEDIS and CMS Star Ratings.