Senior Data Scientist

• Prepare, manage, and support federal (e.g., IPEDS, FVT/GE), state, and other compliance reporting requirements.
• Extract data from Edify (institutional data warehouse), and Montana University System data systems, sources, and databases housed outside of the MUS (e.g. federal and state databases).
• Provide ad hoc and ongoing statistical and analytical support in collaboration with requester, UDA staff, and other university offices with minimal supervision.
• Develop original analytical projects and products for technical and non-technical end users through Edify .
• Identify and propose solutions to potential data, analytical, statistical, or other problems.
• Ensure data quality, integrity, and appropriate use across analytical products, reports, and dashboards.
• Develop and maintain technical documentation for data pipelines, code, and analytical processes to support continuity and reproducibility.
• Build analytical capacity across campus by advising units on effective data use and interpretation.
• Lead projects involving other staff in and outside of UDA.
• Present research and findings to University leadership and other institutional constituents., * Continue to build on knowledge with commitment to self-directed learning.
• Service and inclusive design orientation - Collaborate with and view the process and product from the lens of constituents/end users.
• Detail and accuracy orientation - Anticipate and discover errors and correct them.
• Process and outcome orientation - Forecast how outcomes of projects will impact the organization.
• Use strong written and oral communication skills to communicate data and analysis to lay audiences.
• Think and act independently, critically, and carefully.

• Master’s degree in the social sciences, data science, mathematics/statistics, higher education, or a related field or an equivalent combination of relevant education and experience.

• Three (3) or more years of work experience in an institutional research, analytics, or related functions.

• Advanced knowledge of research design and statistics.

• Demonstrated successful experience with data analysis tools and software (e.g. R, SPSS, SAS, Stata).

• Demonstrated successful experience with database management and querying (e.g. SQL, database management tools).

• Demonstrated experience effectively communicating data analysis in a professional setting.

Preferred Qualifications - Experience, Education, Knowledge & Skills

• Demonstrated successful experience with reporting on IPEDS, FVT/GE, CDS or other higher education compliance reporting.

• Experience working in higher education analytics., 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.

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.