Applied Data Scientist

UHS•King of Prussia, PA

About The Position

One of the nation’s largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 500® corporation, annual revenues during 2025 were $17.4 billion. In 2026, UHS was again recognized as one of Fortune World’s Most Admired Companies™ and in 2025, was listed in Forbes ranking of America’s Largest Public Companies. Headquartered in King of Prussia, PA, UHS has approximately 101,500 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 in 40 U.S. states, Washington, D.C., Puerto Rico and the United Kingdom. For additional information visit www.uhs.com. The 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.

Requirements

Requires demonstrated experience in devising and testing analytic methodologies and algorithms, developing, and recommending data visualization techniques, and identifying and integrating new data sources and applications including ML and AI.
Programming experience using major software such as SAS/Python/R and domain specific languages such as SQL.
Proficient in SAS/Python/R or other key programming languages.
Skilled in domain specific languages such as SQL.
Must have a passion for discovering solutions hidden in large data sets.
Ability to work with all levels across the organization.
Ph.D. degree in a related field (applied mathematics, statistics, computer science) or a Master's degree with 5-8 years of related experience is required.

Nice To Haves

A working knowledge of healthcare and or clinical operations is beneficial.

Responsibilities

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.