Virginia Tech - Blacksburg, VA

posted 4 months ago

Full-time - Entry Level
Remote - Blacksburg, VA
10,001+ employees
Educational Services

About the position

The Research Impact and Intelligence Department of University Libraries at Virginia Tech is seeking a Research Intelligence Data Scientist to support the institution's global distinction goals through data-driven insights. This role will report to the Director for Research Impact and Intelligence and will involve building and operationalizing data solutions that enhance decision-making processes across various departments. The successful candidate will act as a liaison to the Analytics and Institutional Effectiveness office, engaging in projects that require the extraction, analysis, and visualization of research, patent, and government funding data. The position emphasizes collaboration and creativity, aiming to provide analytical insights that inform operational, tactical, and strategic decisions within the university. The Research Intelligence Data Scientist will be responsible for working on a project-based basis, which includes collecting and integrating data from diverse sources, processing it, and applying statistical methods to derive meaningful insights. The role requires a strong foundation in statistical analysis and proficiency in programming languages such as Python and R. Additionally, the candidate will utilize data visualization tools to present findings clearly and concisely, ensuring that stakeholders can easily understand the implications of the data. This position offers flexibility in work arrangements, allowing for hybrid or fully remote work, with occasional on-site collaboration as needed. The successful candidate will contribute to a culturally diverse community and will be expected to engage in inclusive practices within their work environment. Virginia Tech is committed to fostering a supportive atmosphere for all employees, particularly those from historically minoritized groups, and encourages applications from women and minorities.

Responsibilities

  • Build and operationalize data solutions to provide analytical insights for decision-making processes.
  • Act as a liaison to the Analytics and Institutional Effectiveness office.
  • Extract, analyze, and visualize research, patent, and government funding data.
  • Collect and integrate data from various sources for analysis.
  • Apply statistical methods to derive insights from data.
  • Utilize data visualization tools to present findings clearly and concisely.
  • Collaborate with various departments and stakeholders on data-related projects.

Requirements

  • MS in Statistics, Computer Science, Operations Research, Mathematics, Physics, Finance, or related disciplines.
  • Sound knowledge of statistical methods.
  • Experience in collecting, integrating, processing, and analyzing data.
  • Significant experience with Python and/or R.
  • Knowledge of open source or commercial data visualization libraries/tools.
  • Demonstrated experience in analyzing, summarizing, and presenting quantitative and qualitative information clearly and concisely.
  • Demonstrated experience working in a highly collaborative work environment.
  • Excellent written and oral communication skills.

Nice-to-haves

  • Experience working in a research-intensive university, institute, or national lab.
  • Knowledge of scholarly publication environment and associated metadata.
  • Knowledge of bibliometrics and scientometrics.
  • Knowledge of university rankings methodologies.
  • Knowledge of government grant terminology and associated data.
  • Knowledge of responsible research assessment practices.
  • Detail-oriented with an understanding of the university environment and its goals.
  • Demonstrated service activities or work experience showing a commitment to inclusive practice.

Benefits

  • Hybrid or fully remote work options.
  • Professional development opportunities.
  • Mentoring and support for diverse groups.
  • Commitment to building a culturally diverse community.
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