About Virginia Tech:
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.
Virginia Tech is looking for an experienced professional for the position of Data Scientist in the Office of Academic Decision Support. The Office of Academic Decision Support promotes systematic reflection and facilitates a culture of continuous improvement in the university by developing systems and providing solutions and analyses to support strategic and operational decisions across all levels of the institution. The office provides data-driven insights to support and strengthen shared understandings of institutional data to achieve student and faculty success.
The responsibilities of the person hired in this position will be toDevelop and implement data driven predictive and prescriptive solutions.
Develop and deploy advanced analytical models that provide actionable insights required for effective and efficient organizational and institutional decision making
Extract data from variety of sources, perform analyses and help automate and optimize key data related processes
Develop visualizations to help effectively communicate the results to various stakeholders of the campus community
Required Qualifications:MS in Statistics, Operations Research, Mathematics, Computer Science, Physics or other quantitative discipline (a BS with significant experience will be considered in lieu of the MS)
Experience and expertise in applying quantitative techniques (data-mining, machine learning...) to solve real-world problems
Understanding of feature discovery/engineering and experience in predictive/prescriptive model development and deployment
Experience and proficiency in Python, SAS or R
Experience in developing visualizations using commercial and/or open source tools – D3, Chart.js etc.
Experience with relational databases – Oracle, MS SQL Server or PostgreSQL, and mastery in SQL scripting
Must be able to work as part of a close-knit team and maintain composure in a deadline-driven, high-change environment.
Motivated self-starter and problem solver who enjoys collaboration
Creative, enthusiastic and quick learner
Ability to synthesize and present technical results to campus audiences
Effective communication skills
Preferred Qualifications:PhD in Statistics, Operations Research, Mathematics, Computer Science, Physics or other quantitative discipline
Hands on experience in developing and deploying analytic applications/dashboards
Experience and expertise in developing visualizations using D3 and any other open source libraries
Experience in working with and handling higher education data
Higher education domain experience
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.
Review Date: 02/20/2017