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Tech Ladies®
Tech Ladies®

Data Scientist - San Diego

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Support
Data modeling
+28

Permanent role
2 days ago
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Featured

A featured role. The employer reviews Tech Ladies applicants first.

Scripps Health

Scripps Health

Data Scientist - San Diego

San Diego

Full-time

At a glance

$51.66–$74.92 / hr

Location

San Diego

Job type

Full-time

Experience level

Mid-Senior ICs

Posted

Today

Apply before

December 18, 2026

  • 45 days left

Apply Now Apply Now

You apply on Scripps Health’s own site.

Why apply via Tech Ladies

Our Partners give Tech Ladies' applications priority review as they source candidates.

Company

Scripps Health is a nonprofit integrated healthcare delivery system based in San Diego, Calif. To protect job seekers from online scams, please note that all Scripps Health recruiting activity is conducted exclusively through our official careers website and approved communication channels. We will never ask for banking information, Social Security numbers, payment or other sensitive personal details through LinkedIn messaging. For verified opportunities, please apply directly at https://careers.scripps.org/.

Founded in 1924 by philanthropist Ellen Browning Scripps, Scripps treats more than 650,000 patients annually through the dedication of more than 3,500 affiliated physicians and nearly 18,000 employees among its five acute-care hospital campuses, more than 70 outpatient and specialty care locations, and hundreds of affiliated physician offices throughout the region.

Scripps is consistently recognized as one of the best places to work in the nation. The Advisory Board, Fortune and Working Mother magazine have all named Scripps a top employer and its hospitals are consistently ranked among the nation's best by U.S. News & World Report. Scripps is committed to attracting and retaining exceptional talent across all disciplines — from clinical care to operations to administration.

Industry

Hospitals and Health Care

Company size

5001+

Headquarters

San Diego, California

Funding

WebsiteLinkedIn

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Job Description

Scripps Health Administrative Services supports our five hospital campuses, 31 outpatient centers, clinics, emergency rooms, urgent care sites, along with our 17,000 employees, more than 3,000 affiliated physicians and 2,000 volunteers.

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.

Required Qualifications

  • Bachelor's degree.
  • Experience with different healthcare data sources (medical claims, authorizations, pharmacy, provider, membership).
  • Experience with statistical modeling and interpretations of complex data.
  • Experience in analyzing any of the following: Medical expenses & utilization trends, RAF Scores, Comorbidities & disease burden, Healthcare quality measures.
  • Excellent critical and analytical thinking, customer service skills, and strong written and verbal communication skills.
  • Experience in R, Python, or SAS programming.
  • Intermediate knowledge of SQL, ETL, data modeling, and reporting technologies.
  • Intermediate knowledge of Power BI or Tableau.
  • Must have knowledge and skills necessary to explain complex concepts to team members and leadership.
  • Ability to work both independently and collaboratively as part of a team.

Preferred Qualifications

  • Master's Degree in related field (Data Science, Quantitative, Clinical, or Engineering).
  • Experience in working with financial datasets (e.g., accounting, health plan claims, P&L).
  • Prior experience with Epic data structures and reporting environments.
  • Expertise in leading analytics for value-based populations.
  • Experience in predictive modeling for clinical intelligence.
  • Experience in market intelligence and financial projections.

At Scripps Health, you will experience the pride, support and respect of an organization that has been repeatedly recognized as one of the nation’s Top 100 Places to Work.

You’ll be surrounded by people committed to 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.

Position Pay Range: $51.66-$74.92/hour

Interested in this role?

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Why apply via Tech Ladies

Our Partners give Tech Ladies' applications priority review as they source candidates.

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