Data Scientist - Growth and Accountable Care at Scripps Health
Date: 2 hours ago
City: San Diego, CA
Salary:
$51.66
-
$74.92
per hour
Contract type: Full time
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 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.
Required Education/Experience/Specialized Skills
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
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.
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.
- Expertise in analytics for value-based populations.
- Experience in predictive modeling for clinical intelligence.
- Experience in market intelligence and financial projections.
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
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