> Markdown version of [/jobs/ext/4209189-data-scientist-san-diego](https://www.wearedevelopers.com/jobs/ext/4209189-data-scientist-san-diego). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist - San Diego

- **Company:** Scripps Health
- **Location:** San Diego, CA, United States
- **Salary:** $107,453.0 - $155,834.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Extract Transform Load (ETL), Data Structures, Decision Support Systems, Python (Programming Language), Machine Learning, Power BI, Standard Sql, SAS (Software), Tableau (Software), Unstructured Data
- **Published:** October 22, 2026
- **Apply:** https://diversityjobs.com/career/18728274/Data-Scientist-San-Diego-California-San-Diego

## About the Role

* 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.
 * Expertise in leading analytics for value-based populations.
 * Experience in predictive modeling for clinical intelligence.
 * Experience in market intelligence and financial projections.

## Description

* 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.