Applied Data Scientist

Responsibilities

One of the nation's largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (NYSE : UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 300 corporation, annual revenues were $15.8 billion in 2024. During the year, UHS was again recognized as one of the World's Most Admired Companies by Fortune; and listed in Forbes ranking of America's Largest Public Companies. Headquartered in King of Prussia, PA, UHS has approximately 99,000 employees and continues to grow through its subsidiaries. Operating acute care hospitals, behavioral health facilities, outpatient facilities and ambulatory care access points, an insurance offering, a physician network and various related services located all over the U.S. States, Washington, D.C., Puerto Rico and the United Kingdom. www.uhs.com

The Corporate Information Services Department is seeking a dynamic and talented Applied Data Scientist.

The Applied Data Scientist recommends and implements methodologies appropriate to large scale data analytics, including those commonly involved in large-scale Machine Learning (ML) and Artificial Intelligence (AI). Devises and tests analytic processes and algorithms. Recommends data visualization techniques and identifies and integrates new information sources. Applies methodologies to large data sets and finds opportunities for product and process optimization across the company. Uses models to test the effectiveness of different courses of action. Advances the organization's analytic approach and capabilities in support of both patient care and business operation decisions. Collaborates across departments and functions including Information Services, Process Improvement, Quality and with other organizational stakeholders to improve business outcomes.

Key Responsibilities include :

• Provides analysis to identify critical issues / questions around key performance metrics. Conducts exploratory data analysis from potentially complex, disparate data sources to recognize patterns, and identify performance improvement opportunities.
• Identifies data sources internally and externally relevant to required data analyses. Generates hypotheses and analyzes data to test and interpret results. Designs and develops data models, leveraging ML and or AI as appropriate, to predict outcomes or future impacts of key decisions.
• Communicates findings from exploratory and predictive data analysis broadly to administrative, clinical and business leaders. Designs and recommends creative means to display information visually and make the patterns and insights clear and compelling. Identifies improvement opportunities in people, process and technology and collaborates as appropriate in implementation.
• Serves as the organizational resident data expert and shares best practices / approaches for statistics, analysis involving ML techniques, data modeling, simulation, and advanced mathematics with appropriate audiences in the corporate office and facilities as appropriate.

Qualifications

Position Requirements :

Travel Requirements : Up to 10% US or International travel

This opportunity provides the following :

UHS is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at UHS via-email, the Internet or in any form and / or method without a valid written search agreement in place for this position will be deemed the sole property of UHS. No fee will be paid in the event the candidate is hired by UHS as a result of the referral or through other means.

EEO Statement

All UHS subsidiaries are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. UHS subsidiaries are equal opportunity employers and as such, openly support and fully commit to recruitment, selection, placement, promotion and compensation of individuals without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national origin, disability status, protected veteran status or any other characteristic protected by federal, state or local laws.

We believe that diversity and inclusion among our teammates is critical to our success.

Notice

At UHS and all our subsidiaries, our Human Resources departments and recruiters are here to help prospective candidates by matching skillset and experience with the best possible career path at UHS and our subsidiaries. We take pride in creating a highly efficient and best in class candidate experience. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Hotmail, Gmail, Yahoo Mail, etc. If you are suspicious of a job posting or job-related email mentioning UHS or its subsidiaries, let us know by contacting us at : or 1-800-852-3449 .