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Data Scientist

Amerihealth Caritas · United States

Hospitals and Health Care · 51-200 employees

20 h ago
Remote Senior (5-10 yrs) Full-time United States
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About the role

Develops complex analyses and predictive models to solve operational problems and evaluate market performance. Defines business problems, collects data, and applies advanced mathematical concepts to generate actionable insights for management.

What they look for

Predictive modeling Statistics Mathematics SAS JMP Enterprise Miner Data analysis Economic modeling Operational analysis Metric development Business software Statistical software Healthcare analytics Life sciences analytics

Requirements

Requires a Master’s Degree in Statistics or Mathematics. Candidates must have 5 to 10 years of experience developing predictive models in healthcare or life sciences using SAS, JMP, or Enterprise Miner.

Benefits

Flexible work solutions Remote options Hybrid work schedules Competitive pay Paid time off Holidays Volunteer events Health insurance 401(k) Tuition reimbursement

Full description

For roles that are 100% remote or hybrid, you must have access to a reliable high-speed internet connection to support daily job responsibilities. A minimum bandwidth of 50 Mbps download and 5 Mbps upload is required. Those fully remote associates residing in states where service is required by contract, law, or regulation will be allowed to submit for reimbursement.

Your career starts now. We’re looking for the next generation of health care leaders.

At AmeriHealth Caritas, we’re passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we’d like to hear from you.

Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.

Discover more about us at www.amerihealthcaritas.com.

Responsibilities:

Develops analyses and models based on complex operational, economic and statistical data to solve new and complex problems, develop innovative strategies, quantify the competitive performance of the organization’s operations and/or markets, and evaluate the potential impact of changes. Develop analyses and models based on complex operational, economic and statistical data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies. Defines problems, collects data, applies advanced economic and mathematical concepts, establishes facts and draws valid conclusions. Applies an in-depth understanding of advanced mathematical concepts, operations and statistics to solve new and complex problems and develop innovative strategies. Develops reports for management on the overall performance of business segments and develops metrics to measure various characteristics of the business. Analyzes historical operations and market information using business software packages and statistical software tools, and develops models to predict future outcomes.

Education/ Experience:

  • Master’s Degree in Statistics or Mathematics.
  • 5 to 10 years developing predictive models in healthcare or life sciences setting using SAS, JMP, or Enterprise Miner.

Our Comprehensive Benefits Package

Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.