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.

Position Summary:
Virginia Tech is looking for a Data Science Post Doctoral scholar in the Office of Academic Decision Support. The mission of the office is to promote and facilitate a culture of continuous improvement in the university by developing systems and providing solutions and analyses to support strategic and tactical decisions. The office promotes systematic reflection and effective policy, program, and resource planning by working collaboratively with university leadership, data stewards across campus, and other staff at all levels of the colleges, academic support, and student life units to provide solutions that support shared understandings of institutional data, helping them to achieve student and faculty success.
Responsibilities include
• Study, research, and develop advanced analytical models that provide insights required for efficient and effective organizational and institutional decision making.
• Develop creative visualization tools and libraries to help effectively communicate the analysis results and reports to the administrative and academic departments within Virginia Tech and higher education regulatory agencies.

Required Qualifications:
• PhD in Statistics, Operations Research, Mathematics, Computer Science, Physics or other quantitative discipline
• Expertise in data mining, machine learning, and mathematical optimization algorithms/techniques
• Strong applied and research skills in data-mining and applied machine learning and experience in developing innovative data solutions.
• Experience and expertise in exploratory data analysis. Expertise in developing data visualizations using open source libraries
• Experience and proficiency in Python, SAS or R
• Experience with relational databases and proficiency in SQL scripting
• Creative, Enthusiastic, Self-directed, and quick learner
• Effective written and oral communication skills

Preferred Qualifications:



To apply please click here!