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HEALTHCARE DATA SCIENTIST

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Onsite

HEALTHCARE DATA SCIENTIST

Cooper University Health Care

HEALTHCARE DATA SCIENTIST

Skills

Google Cloud PlatformData EngineeringData ScienceData AnalysisMachine LearningAIAWS

2 months ago

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Important information


Contract type:

Permanent

Location:

Camden, NJ, USA

Work mode:

Onsite

Published on:

18 August 2026

What they need


About Us At Cooper University Health Care , our commitment to providing extraordinary health care begins with our team. Our extraordinary professionals are continuously discovering clinical innovations and enhanced access to the most up-to-date facilities, equipment, technologies and research protocols. We have a commitment to our employees to provide competitive rates and compensation programs. Cooper offers full and part-time employees a comprehensive benefits program, including health, dental, vision, life, disability, and retirement. We also provide attractive working conditions and opportunities for career growth through professional development.

Discover why Cooper University Health Care is the employer of choice in South Jersey. 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 Required 3 to 5 years of relevant project experience in successfully planning, and executing data science projects, including statistical analysis and data engineering.

Education Requirements Master'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 Requirements Relevant certifications in data science/AI (e.g., Google Cloud Professional ML Engineer, AWS Certified Machine Learning).

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