Data Science Librarian

About the role

The Data Science Librarian provides expert consultative support, workshop-based training, and course-integrated instruction for students, faculty, and researchers in the areas of data science and visualization. The position leads DSS’s support around tabular data, spreadsheet software and tools, and data visualizations, while also contributing to other data science topics aligned with their skills and patron needs. They design, develop, and deliver workshops, both as part of an open workshop series and in collaboration with faculty for course-integrated instruction. They engage with faculty, campus groups, and external partners to support the university’s data and visualization needs, and conduct relevant outreach and participate in sponsoring events.

Responsibilities

• Provides expert consultative support, workshop-based training, and course-integrated instruction for students, faculty, and researchers in the areas of data science and visualization.
• Led DSS’s support around tabular data, spreadsheet software and tools, and data visualizations.
• Designs, develops, and delivers workshops, both as part of an open workshop series and in collaboration with faculty for course-integrated instruction.
• Engages with faculty, campus groups, and external partners to support the university’s data and visualization needs, and conducts relevant outreach and participates in sponsoring events.
• Collaborates with colleagues and faculty on data-related initiatives and projects, contributes to departmental projects and initiatives, and may mentor or supervise graduate student consultants in their skill areas.
• Participates in library planning and serves on library-wide committees, task forces, and teams.
• Communicates clearly and knowledgeably through a variety of mediums; represents the Libraries to university and external audiences.
• Collaborates effectively and works in a team environment.
• Contributes to ongoing professional development and the library profession.

Qualifications

• ALA-accredited MLS, MIS, or other relevant, advanced degree.
• Proficiency with concepts for working with tabular data, such as data generation, preparation, analysis.
• Demonstrated experience with one or more of the following tools for working with spreadsheets and tabular data, such as SPSS, SAS, JMP, GoogleSheets and/or STATA.
• Proficiency with concepts for data visualization, including conceptualizing, designing, and building effective data visualizations for research presentations and publications.
• Demonstrated ability to learn and apply new technical skills and tools; evidence of ongoing, self-directed learning.
• Ability to teach workshops, instruction, or other types of training sessions about preparing and visualizing data, including sessions based in Google Sheets.
• Demonstrated ability to serve and collaborate with a large user community reflecting a variety of backgrounds and disciplines.
• Ability to foster an environment of belonging and well-being.
• Ability to communicate clearly and knowledgeably through a variety of mediums; ability to represent the Libraries to university and external audiences.
• Demonstrated ability to collaborate effectively and work in a team environment.
• Evidence of ability for ongoing professional development and contribution to the library profession.