Data Scientist - San Diego, United States - Scripps Health

Scripps Health
Scripps Health
Verified Company
San Diego, United States

3 weeks ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter
Description

Scripps Health Administrative Services supports our five hospitals and 19 outpatient facilities, which treat half a million patients annually through 2,600 affiliated physicians.


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 202
  • Recognized by Newsweek as one of America's Greatest Workplaces for Diversity in 202
  • Nearly a quarter of our employees have been with Scripps Health for over 10 years.


We are looking for a sharp, strong communicator with a high degree of emotional intelligence who can provide strategic and technical input alongside excellent customer service.


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.
  • 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
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