Data Scientist
3 months ago
Job Description
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.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.
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.
Position Pay Range: $46.88-$70.33/hourIn compliance with the California Pay Transparency Act, Scripps Health posts the pay range for all jobs. Please note that actual pay will be determined based on relevant experience and internal equity within the pay range. Please also note this range is applicable for employees who reside in California only. A geographical pay differential may be applied for remote employees who reside out of state. Scripps Health strives to ensure that our employees receive equal pay for equal work in line with our commitment to being an equal opportunity employer.
Scripps Health is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, sexual orientation, or gender identity/expression), age, marital status, status as a protected veteran, among other things, or status as a qualified individual with disability.
Requirements
Requirements
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.-
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