About us About Cooper University Health Care
Cooper University Health Care is a leading academic health system affiliated with Cooper Medical School of Rowan University. Cooper, headquartered in Camden, New Jersey, has revenues of more than $3 billion and an A+ credit rating from both S&P and Fitch Ratings.
Cooper has nearly 14,000 team members, including more than 2,200 nurses, more than 1,200 employed physicians representing 95 specialties and subspecialties, and more than 700 advanced practice providers.
Cooper operates MD Anderson Cancer Center at Cooper as well as three hospitals ? its 663-bed flagship Cooper University Hospital in Camden, its 229-bed Cooper University Hospital Cape Regional in Cape May Court House, and Children?s Regional Hospital in Camden.
Cooper University Hospital in Camden is the only Level 1 trauma center in South Jersey and the busiest in the region. The hospital has been recognized as a top-performing regional hospital by U.S. News & World Report?s Best Hospitals annual survey for six years.
More than 2.54 million patients visit Cooper?s facilities annually. Cooper?s ambulatory network encompasses three outpatient surgery centers, seven urgent care centers, a wound care center, and more than 130 physician, physical therapy, and radiology offices extending from the Delaware River to the New Jersey shore.
Cooper was named one of America?s Best Large Employers for 2026 by Forbes, ranking among the top 200 in the nation.
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Short Description The Data Scientist plays a pivotal role in planning, executing, and delivering machine learning-based projects that drive business impact. This role involves analyzing large datasets, developing AI /ML /optimization models, and translating findings into actionable insights. The Data Scientist partners with business and operational leaders, supports senior leadership with analytics, and fosters a culture of data-driven decision-making across the organization.
Experience Required3 to 5 years of relevant project experience in successfully planning, and executing data science projects, including statistical analysis and data engineering.
Education RequirementsMaster\'s Degree Required.
Master?s, or PhD in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Operations Research, or a related quantitative field.
License/Certification RequirementsRelevant certifications in data science/AI (e.g., Google Cloud Professional ML Engineer, AWS Certified Machine Learning).
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