Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
The Academic Decision Support office at Virginia Tech is looking for creative and passionate data professionals in multiple roles to help develop and operationalize the data and analytical solutions that help decision makers at all levels of the institution gain necessary insights to improve services, processes, student and faculty experience, institutional effectiveness, and financial, human and facilities resource management. We are looking for professionals who are
Passionate about data and numbers
Innately curious and fast learners
Self-motivated, team players with a drive to get things done.
Design, develop, and operationalize quantitative solutions that provide actionable insights required for institutional decision making
Drive the collection of new data and refine, process, and integrate existing data sources
Perform data analysis, develop insights, and effectively communicate the results to the stakeholders
Develop a deep expertise in particular areas of the institution's operations and serve as data liaison for Vice Presidents/Vice Provosts or other administrators directly responsible for those program areas. These areas may include but are not limited to: research, undergraduate and graduate education, learning outcomes, faculty affairs, libraries, career placement services, and each in collaboration with corresponding domain experts
BS in Statistics, Operations Research, Mathematics, Computer Science, Physics, Economics, Finance, Public Administration, Public Policy or other quantitative disciplines
Good understanding of statistical methods and machine learning algorithms
Hands on experience in collecting, integrating, processing, and analyzing data
Strong programming skills in Python, SAS or R, SQL
Knowledge of open source or commercial data visualization libraries/tools
Ability to think creatively, and solve problems
Ability to work in highly collaborative and dynamic work environment
Effective communication skills
MS in Statistics, Operations Research, Mathematics, Computer Science, Physics, Economics, Finance, Public Administration, Public Policy or other quantitative disciplines
Experience in applying a broad range of quantitative techniques (statistical modeling, machine learning...) to solve real world problems
Experience in data collection, integration, processing and analysis
Proficiency in Python, SAS or R
Experience in working with relational databases and proficiency in SQL scripting
Experience with open source or commercial data visualization tools/libraries such as Bokeh, Highcharts, Chart.js, Plot.ly, Tableau etc.
Experience with cloud computing with exposure to big data technologies (Hadoop/S3, Spark, Hive)
Employee Category: Administrative and Professional Faculty
Appointment Type: Regular
Tenure Status: Non-Tenure Track
Percent Employment: Full-time
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, or veteran status; or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees, or applicants; or any other basis protected by law.
For inquiries regarding non-discrimination policies, contact the executive director for Equity and Access at 540-231-2010 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.
Virginia Tech takes a hands-on, engaging approach to education, preparing scholars to be leaders in their fields and communities. As the commonwealth's most comprehensive university and its leading research institution, Virginia Tech offers 240 undergraduate and graduate degree programs to more than 31,000 students and manages a research portfolio of more than $513 million. The university fulfil...ls its land-grant mission of transforming knowledge to practice through technological leadership and by fueling economic growth and job creation locally, regionally, and across Virginia.
Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto Ut Prosim (That I May Serve).