Description At Cardinal Health’s Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Sr. Data Scientist to join our team as a thought leader and architect of our AI strategy. Company Culture and Environment Join a passionate team of highly skilled data scientists committed to pushing the boundaries of AI in healthcare. Embrace an AI-driven culture that fosters data-driven decision-making and promotes the use of AI insights to drive business outcomes and improve customer experience. Career Growth and Development Opportunities Access opportunities for professional growth, mentorship, and development within a dynamic and innovative environment. You will have the chance to guide and mentor a team of data scientists and ML engineers, fostering a collaborative and innovative atmosphere. Detailed Benefits and Perks • Medical, dental, and vision coverage • Paid time off plan • Health savings account (HSA) • 401k savings plan • Access to wages before payday with myFlexPay • Flexible spending accounts (FSAs) • Short- and long-term disability coverage • Work-Life resources • Paid parental leave • Healthy lifestyle programs Compensation and Benefits • Anticipated salary range: \(121,600 - \)173,700 • Bonus eligible: Yes Why you should apply for this position today Make a real difference by contributing to cutting-edge solutions that improve patient care and enhance healthcare operations. This position offers the opportunity to drive positive change in the industry while working with a passionate team. Skills • Proven AI/ML expertise with a minimum of 5 years of experience in data science • Deep understanding of Generative AI concepts, including LLMs and RAG technologies • Extensive knowledge of healthcare data and relevant regulations such as HIPAA • Experience with cloud platforms like GCP, Azure, or AWS • Proven ability to lead projects and mentor colleagues • Proficiency in Python, statistical programming languages, and machine learning libraries • Experience in building CI/CD pipelines and REST API development • Strong understanding of software engineering best practices • Experience in building end-to-end ML pipelines • Familiarity with Agile methodologies and DevSecOps principles Responsibilities • Lead the development and support of innovative AI solutions • Design, implement, scale, and support sophisticated AI solutions • Shape our AI strategy by working closely with key stakeholders • Guide and mentor a team of data scientists and ML engineers • Foster a culture of data-driven decision-making within the organization Qualifications • Minimum of 5 years of experience in data science • Strong track record in developing and deploying AI/ML solutions • Preferred 8-12 years of experience • Bachelor’s degree in Computer Science or related field, or equivalent work experience preferred Education Requirements • Bachelor’s degree in Computer Science or related field Education Requirements Credential Category • Preferred Experience Requirements • Minimum of 5 years of relevant experience in data science • Experience in developing AI/ML solutions within the healthcare industry Why work in Honolulu, HI Honolulu offers a unique blend of vibrant culture, stunning natural beauty, and a laid-back lifestyle. Living and working here provides access to breathtaking beaches, a diverse community, and numerous outdoor activities. Enjoy a harmonious work-life balance in an environment that fosters creativity and innovation.
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Job Type
Fulltime role
Skills required
Azure, Python, CI/CD, Agile
Location
Honolulu, HI
Salary
$121,600 - $173,700
Date Posted
October 16, 2024
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Discover Financial ServicesRiverwoods, IL
Discover Financial Services is seeking a Principal Product Owner (M365) to lead the Collaboration Engineering team, focusing on the Office365 suite of productivity tools. This role involves defining product vision, managing product backlogs, and collaborating with stakeholders to enhance product performance.
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