Data Scientist - San Diego
Summary
Data Scientist at Scripps Health sourcing and analyzing large, unstructured data sets and building statistical, machine learning, predictive, and generative AI models to support clinical, operational, and business decisions. Mostly remote, but candidates must live in the San Diego area with occasional on-site visits.
This is a benefited, full-time position working mostly remote with the requirement of occasionally coming on-site. Although remote, this individual must reside within the San Diego area. You will enjoy comprehensive benefits that cover health & wellness, career development, and retirement options among other benefits.
At Scripps Health, you will experience the pride, support, and respect that has been repeatedly recognized as one of the nation’s Top 100 Places to Work.
You will thrive in an environment where team members are engaged and committed to providing excellent care and making a difference in the lives of their patients and their teammates So, if you’re open to change, go ahead and unlock your potential.
Why join Scripps Health?
At Scripps Health, your ambition is empowered and your abilities are appreciated\:
- Nearly a quarter of our employees have been with Scripps Health for over 10 years.
- Scripps is a Great Place to Work Certified company for 2025.
- Scripps Health has been consistently ranked as a top employer for women, millennials, diversity, and as an overall workplace by various national publications.
- Becker's Healthcare ranked Scripps Health on its 2026 list of 150 top places to work in health care.
- We have transitional and professional development programs to create a learning environment that enables you to thrive in your specific field as well as in your overall career.
Our specialties have been nationally recognized for quality in areas such as cardiovascular care, oncology, orthopedics, geriatrics, obstetrics and gynecology, and gastroenterology.
As a Data Scientist, you will\:
- Provide advanced, integrated analytics in support of organizational objectives.
- Source, manage, and analyze large amounts of unstructured data; synthesize and communicate results to facilitate data-driven decision making.
- Partner with internal and external constituents to understand key requirements, plan and execute projects, and produce actionable data to support strategic initiatives and drive continuous performance improvement.
- Design data modeling processes and develop statistical, machine learning, and predictive models to generate actionable insights for clinical, operational, and business stakeholders.
- The right candidate will have a passion for discovering solutions hidden in large data sets and working with customers to improve outcomes and performance.
- Develop, evaluate, and operationalize AI and machine learning solutions, including generative AI, to address clinical, operational, and business needs.
Evaluate emerging AI technologies and tools, partnering with technical and business stakeholders to translate new capabilities into practical, responsible, and measurable solutions.