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Data Analyst / Data Scientist

Position Information

Position Information

Working Title: Data Analyst / Data Scientist
Faculty Rank: Lecturer
Role Title: Professional Faculty
Posting Number: AP0170321
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.

Position Summary:

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

Required Qualifications:

• 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

Preferred Qualifications:

• 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,, Tableau etc.
• Experience with cloud computing with exposure to big data technologies (Hadoop/S3, Spark, Hive)

Employment Conditions:
Must have a conviction check: Yes
Describe Other:
Employment Comments:
How to Apply for this Job:

Qualified applicants must electronically submit online application, cover letter, resume/curriculum vitae and a list of 3 professional references to Apply to posting AP0170321. Applicant screening will continue until the position is filled. Virginia Tech is committed to building a culturally diverse faculty and strongly encourages applications from women and minorities.

Employee Category: Administrative and Professional Faculty
Appointment Type: Regular
If restricted or temporary, enter end date:
FLSA Status: Exempt: Not eligible for overtime
Tenure Status: Non-Tenure Track
Academic Year or Calendar Year: Calendar Year
Percent Employment: Full-time
If part time, enter Percent Time:
Pay Range: Commensurate with Experience
Location: Blacksburg
Department: Academic Decision Support Services
Location, if not Blacksburg:
Location Zip Code: 24061
Work Schedule: M-F 8-5
Job Posting Date: 12/14/2017
Review Begin Date: 01/10/2018
Job Close Date:
Restricted to university employees only? No
Equal Opportunity/Affirmative Action Statement:

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.

Reasonable Accommodation Statement:

If you are an individual with a disability and desire accommodation please contact the hiring department.

Quick Link:

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * How did you first learn about this job opening?
    • Chronicle of Higher Education - online
    • Chronicle of Higher Education - print
    • Higher Ed Jobs (
    • Higher Education Recruitment Consortium - HERC (
    • Diverse Jobs (
    • Insight Into Diversity (
    • Indeed (
    • Roanoke Times Online (
    • Commonwealth of Virginia Jobs (
    • Virginia Tech job site (
    • Facebook
    • LinkedIn
    • Twitter
    • Job Fair (please describe below)
    • Journal (please describe below)
    • Listserv (please describe below)
    • Newspaper - print (please describe below)
    • Professional Conference (please describe below)
    • From a friend/acquaintance not associated with Virginia Tech (please name below)
    • From a Virginia Tech employee/representative/recruiter (please name below)
    • Veteran related event/site (please describe below)
    • Virginia Employment Commission - VEC
    • Other Virginia Tech affiliated website (please describe below)
    • Other job board such as Simply Hired, Career Builder, etc. (please describe below)
    • Other - Not listed (please describe below)
  2. Please describe recruiting source identified in previous question (if applicable):

    (Open Ended Question)

Required Documents

Required Documents
  1. Resume/Curriculum Vita
  2. Cover Letter
  3. List of References
Optional Documents