Bozeman, MT, USA
18 days ago
Data Technologist
Position Details Position Information

Announcement Number FAC - VA - 24125 For questions regarding this position, please contact: Robin Francis
406-994-4997
robin@montana.edu

Classification Title Instructor Working Title Data Technologist Brief Position Overview We are looking for a new team member interested in learning with us and can offer you space to build your data science skills in a supportive environment. The Montana State University Library’s Data Technologist works as an active member of a service-oriented team that advances researcher visibility, integrates artificial intelligence in teaching and research, and leads data science initiatives. This 12-month, entry-level faculty position works to integrate MSU Library’s research software applications and services into the classroom to foster new forms of scholarship, create new insights through data analysis, and provide users with enhanced access to information. The Data Technologist supports objectives of the MSU Library and MSU’s Strategic Plan, including increased access to affordable education through Open Education Resources, improved accessibility to digital spaces, and the development of data visualizations for learning. Faculty Tenure Track No Faculty Rank Non-Tenure Track Position Number 4B3662 Department Library Division Library Appointment Type Non-Tenure Track Contract Term Fiscal Year Semester Fall or Spring If other, specify From date If other, specify End date Union Affiliation AFMSU FTE 1.0 Benefits Eligible Eligible Salary Salary commensurate with experience, education, and qualifications Contract Type LOA If other, please specify Recruitment Type Open Position Details

General Statement Montana State University values diverse perspectives and is committed to continually supporting, promoting, and building an inclusive and culturally diverse campus environment. MSU recognizes the importance of work-life integration and strives to be responsive to the needs of dual career couples. Duties and Responsibilities Build and support technologies for research impact and discovery, digital scholarship, and data science initiatives. Integrate intentional Artificial Intelligence (AI) workflows into library services and projects. Collaborate directly with faculty in artificial intelligence and machine learning research across all disciplines. Develop and support digital initiatives with a specific focus on database design, development, and maintenance; data mining; and data visualization. Develop research optimization and data science services that support faculty and student researchers on campus. Required Qualifications – Experience, Education, Knowledge & Skills Demonstrated experience with operating systems, programming languages, database design, and/or database query languages and markup languages such as Linux, Apache, MySQL, Python, PHP, JavaScript, HTML, and CSS. Demonstrated familiarity with data science methods such as database design, natural language processing, machine learning, data mining, and data visualization. A bachelor’s degree in library and information science, computer science, or related field. Preferred Qualifications – Experience, Education, Knowledge & Skills Demonstrated experience working on collaborative projects and teams. Knowledge of Artificial Intelligence (AI) and how it might be applied in higher education settings. Experience with software development and maintenance. Knowledge of user-centered design and data-informed decision making. A master’s degree in library and information science, computer science, or related field. The Successful Candidate Will Have an interest in open source and open data culture. Have excellent communication skills, especially when discussing technical work with non-technical people. Have a strong interest in supporting the land grant mission of MSU and outreach to academic units and citizens of Montana. Foster an environment that is committed to helping students, faculty, and staff from diverse backgrounds succeed. Position Special Requirements/Additional Information The position for which you have applied MAY BE a Union position. Union affiliation is determined by job duties and the collective bargaining unit.

* Non-Tenure Track Faculty – Any position that is .5 FTE or more is represented by the Associated Faculty of Montana State University (AFMSU). Faculty covered by AFMSU may choose to pay membership dues. This is a condition of employment. Additional information can be found at AFMSU or by emailing AFSMU .
* Any position less than .5 FTE is not represented by the Union and is not required to pay dues.
* If the FTE changes during employment, the representational status of this position could be impacted.
** Exceptions: Anyone having successfully completed a PEI exam or any faculty working in Extension are exempt from the UnionThis job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University’s rights to assign or reassign duties and responsibilities to this job at any time. Physical Demands To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required. The Program The Department Research Optimization, Analytics and Data Service (ROADS) is a forward-thinking and constructively critical team that provides engaged and expert guidance as consultants, collaborators, and leaders regarding research software, systems infrastructure, information architecture, database design, data science, and much more. The College The MSU Library is a dynamic, adaptive, and responsive research library. We aspire to build innovative digital and physical spaces where our diverse communities can access and apply information to grow intellectually, build meaningful collaborations, communicate ideas, and envision a better future for Montana and beyond. We are proud to serve the university and the people of Montana, and we strive to do so while embodying the core values of the profession of librarianship and MSU. Our values reflect how we carry forward our strategic and operational decisions: we aim to build a more informed, thoughtful, and just world while striving to cultivate an environment that supports the potential for finding joy and meaning in our work. The library has a full range of resources and services for students and faculty, including books and electronic resources, special collections, public computer workstations, printers, scanners, technology-rich group study rooms, quiet study areas, information instruction, data and publication services, and technology and research consultations.

The MSU Library is committed to providing access to information resources and supporting student and faculty success through instructional services and research assistance. Our library faculty are campus leaders and active within state, regional, and national library communities.

The MSU Library has around 50 faculty and staff employees, including 14 tenure-track faculty, 33 staff members, and 25-30 student employees.

Posting Detail Information

Number of Vacancies 1 Desired Start Date September 1, 2024 Position End Date (if temporary) Open Date Close Date Applications will be: Screening of applications will begin on August 21, 2024; however, applications will continue to be accepted until an adequate applicant pool has been established.
Special Instructions EEO Statement Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.

In compliance with the Montana Veteran’s Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran’s preference, please complete the veteran’s preference information located in the Demographics section of your profile. FLSA Details FLSA Determination

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