Data Scientist - Growth and Accountable Care

This is a full-time, benefit eligible remote position located in San Diego. Must be local or willing to relocate.

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.

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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.
  
  Preferred Education/Experience/Specialized Skills/Certification:
• 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 analytics for value-based populations.
• Experience in predictive modeling for clinical intelligence.
• Experience in market intelligence and financial projections.