What are the responsibilities and job description for the Data Scientist position at Scripps Health?
This is a full-time, hybrid position located in San Diego and offers Scripps Health’s award-winning benefit package.
Join the Scripps Health team and work alongside passionate caregivers and provide patient-centered healthcare. Receive endless appreciation while you build a rewarding career with one of the most respected healthcare organizations nationwide.
Why join Scripps Health?
Award-winning Workplace
- #5 in Fortune Best Workplaces in Health Care 2023
- #78 in 2023 PEOPLE Companies that Care
- #95 in Fortune 100 Best Companies to Work for 2023
- Recognized by Newsweek as one of America’s Greatest Workplaces for Diversity in 2024
- Nearly a quarter of our employees have been with Scripps Health for over 10 years.
The Data Scientist 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, create algorithms and predictive models to extract key data, and analyze the data and share insights with 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.
Required Education/Experience/Specialized Skills
- 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.
- 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.
- Experience in predictive modeling for clinical intelligence.
- Experience in market intelligence and financial projections.
- Background or interest in AI, machine learning intelligence.
Position Pay Range: $46.88-$70.33/hour
Salary : $47 - $70
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