Coordinator, Data Science Masters Program, School of Engineering and Applied Science

Compensation

: $91,660.00 - $139,760.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



University Overview
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 Penns 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.
Posted Job Title
Coordinator, Data Science Masters Program, School of Engineering and Applied Science
Job Profile Title
Coordinator B
Job Description Summary
Penn Engineerings world-acclaimed faculty, state-of-the-art research laboratories and highly interdisciplinary curricula offer an experience that is unparalleled. Innovation and technology drive every program and transform the fundamentals of what future engineers are learning. eas.upenn.edu/ The Coordinator of the Data Science Masters Program (DATS) in Computer and Information Science (CIS) in the School of Engineering and Applied Science (SEAS), will evaluate student applications to the SEAS Data Science Master's program and determine eligibility for admission for each applicant. Manage day-to-day aspects of the program as well as of the Scientific Computing Masters Program (SCMP) by advising students on course selection, tracking academic progress, and keeping inventory of practicum projects across campus. Manage visibility for the programs by creating content for and maintaining web pages, helping drive data science activities on campus, and posting to social media outlets (e.g. Facebook or Twitter). Maintain statistics on programs; track applications, admits, accepts, and enrollment for each program.
Job Description
The Coordinator of the Data Science Masters Program will evaluate student applications to the SEAS Data Science Master's program and determine eligibility for admission for each applicant by maintaining knowledge of international academic standards and variations between academic grading and standards among schools in the US and internationally. Give initial rankings of applicants based on TOEFL and GRE scores, school, GPA, and other factors. Make recommendations to accept or reject applicants and identify the subset of applications that will require faculty decision-making. Communicate with applicants, respond to questions, maintain a FAQ sheet, etc. Coordinate with the school to develop and implement systems for application review. Manage day-to-day aspects of the Data Science Master's program and the Scientific Computing Masters Program (SCMP) by advising students on course selection, tracking academic progress, and keeping inventory of practicum projects across campus. Assist the faculty co-directors of DATS and SCMP with program content by maintaining an inventory of courses relevant to Data Science across the university, and what course substitutions are allowed.
Manage visibility for the programs by creating content for and maintaining web pages, helping drive data science activities on campus, and posting to social media outlets (e.g. Facebook or Twitter). Create and manage a landing page for DATS and SCMP programs comparing the programs. Assist faculty director in scheduling and archiving information sessions, Webinars, etc. as well as setting up curriculum committee meetings and other program development activities.
Maintain statistics on programs; track applications, admits, accepts and enrollment for each program. Establish a LinkedIn presence for DATS, recruit students to it, and track jobs upon graduation. Develop and grow ties to companies with projects and employment opportunities in Data Science.Qualifications
A Bachelor's degree and 3 years to 5 years of experience or an equivalent combination of education and experience. A high level of initiative, independent judgment and organizational savvy. Must be proficient in Microsoft Office, including Word, PowerPoint, Outlook and Excel. Experience in maintaining a social media presence and in collecting data on academic programs is preferred.Working ConditionsOffice, library, computer roomPhysical EffortTypically sitting at a desk or table
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
School of Engineering and Applied Science
Pay Range
$42,953.00 - $77,315.00
Affirmative Action Statement Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
The University of Pennsylvania's special character is reflected in the diversity of the Penn community. We seek talented faculty and staff who will constitute a vibrant community that draws on the strength that comes with a substantive institutional commitment to diversity along dimensions of race, ethnicity, gender, sexual orientation, age, religion, disability, veteran status, interests, perspectives, and socioeconomic status. Grounded in equal opportunity, nondiscrimination, and affirmative action, Penn's robust commitment to diversity is fundamental to the University's mission of advancing knowledge, educating leaders for all sectors of society, and public service. The University of Pennsylvania prohibits unlawful discrimination based on race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
Associated topics: algorithm, application, c c++, develop, developer, devops, matlab, python, software development engineer, software engineer * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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