Payer Healthcare Data Scientist, Manager

Job Details

Job Title: Payer Healthcare Data Scientist, Manager
Job Category: Operations Consulting
Level: Manager
Specialty/Competency: Operations
Industry/Sector: Health Services
Job Type: Regular
Time Type: Full time
Travel Requirements: Up to 80%

Benefits / Rewards

• Health Care: Comprehensive medical coverage, vision care, dental and health savings accounts.
• Retirement: 401(k) Savings Plan and a Wealth Builder retirement plan completely funded by PwC.
• Maternity / Paternity Leave: Eligible new parents receive, within the first year from birth or adoption/foster placement, 12 weeks of paid parental leave. Parents have the option to work 60% of hours, at full-time pay, for an additional four weeks immediately following paid parental leave.
• Paid Time Off: The Firm recognizes 13 paid holidays and provides extended Firm holidays around the July 4 holiday and Christmas and New Year holiday. You accrue vacation time of between three weeks (15 work days) and one month (22 work days) per year, based upon staff classification and length of service with PwC.
• Committing to growth: You’ll receive AI training and human skills you need to become a leader in today's workplace.
• Bring your best, every day: We empower our people and strive to provide a people experience grounded in care for you and your well-being.

Responsibilities

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

Qualifications

• Bachelor's Degree
• At least 6 years of experience in data science and machine learning

What Sets You Apart

• Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
• Prior consulting or advisory firm experience preferred
• Contributing to commercial analytics product development
• Familiarity with NCQA HEDIS specifications and CMS Star Ratings
• Knowledge of government payer programs and Medicaid
• Experience with NLP or unstructured clinical text
• Exposure to social determinants of health data integration