Data Scientist, University of Pennsylvenia 2019-03-30T00:52:50+00:00

Job description:

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

Reporting to the Research Director, the Data Scientist for Wharton People Analytics (WPA) will work across WPA research streams to manage all core data analytic functions related to the design and execution of research projects. The Data Scientist is expected to bring extensive technical data analytics experience and expertise, strong communication skills, subject matter familiarity, and a collaborative spirit to bear on the advancement of WPA’s strategic goals and research agenda. The Data Scientist will be the resident data expert and as such will provide reporting, visualization, and decision-support consultation across the team. The Data Scientist is expected to be passionate about data analysis and creative in the application of the various tools and techniques of the trade in order to uncover new ways of looking at data. The Data Scientist will be rigorous about using metrics to test the underlying assumptions in their models on a regular basis. The Data Scientist must have an interest in exploring how to use people data to solve problems around management and human resources issues, be curious and thoughtful about how to model human phenomena, and an ongoing desire to learn across data platforms.

A Master’s Degree or more and 4 – 5 years of experience using data analysis tools and databases or an equivalent combination of education and experience. 
Advanced knowledge of Excel required. Demonstrated proficiency with statistical packages (Stata, SAS, and R, etc) required. Experience with statistical modeling required. Experience with reporting and data visualization tools required. Familiarity with optimization routines a plus. Familiarity with database design and management a plus (SQL Server/MySQL/etc). Experience working with unstructured data a plus.
Demonstrated expertise in data analysis, process redesign, systems analysis and design and the ability to quickly learn and apply new technologies. Experience with optimization tools and advanced statistical models a plus.