Data Scientist

Data Scientist

Application Review Date: 12/1/2025

Campus

Location:

Radford City - Main Campus

Work Authorization: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor employment visas at this time.

The Data Scientist for the Office of the Provost at Radford University will lead data-driven initiatives to optimize student success, career readiness, and institutional effectiveness. This role involves managing and integrating data from platforms like the RU Data Warehouse, Assessments, Handshake, Banner, Raiser’s Edge, Intern bridge, Hanover, and Lightcast, developing systematic data collection plans, and creating actionable insights through advanced analytics and visualization tools such as Python, SQL, Snowflake, Power BI, Tableau, etc.

The ideal candidate will possess strong project management skills, experience with data warehousing, and a deep understanding of database management. Strong problem solving and communication skills are also required. The analyst will collaborate with various departments to ensure accurate data reporting and support the strategic goals of the university, particularly in tracking and enhancing student engagement and experiential learning outcomes, as well as supporting the Curriculum Lifecycle and the Strategic Plan.

Reporting to the Director of Institutional Effectiveness, this position will also benchmark equitable student access and participation, with the ability to compare metrics with Commonwealth and national data.

• Master’s degree required in Data Science, Statistics, Computer Science, or related field.
• Experience in project management, benchmarking, data collection and analysis, data warehousing/data modeling, relational databases, data visualization techniques, forecasting and reporting. Strong understanding of database management systems and ETL processes.
• Experience in relationship management and data integration.
• Experience in Machine Learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiarity with the latest trends and applications of generative AI.
• Experience with open source or commercial data visualization tools such as Tableau, Power BI, etc., and ability to create interactive, user-friendly dashboards and reports.
• Ability to effectively manage competing priorities in a complex work environment, focusing on high-value activities.
• Expertise in statistical analysis, hypothesis testing, and predictive modeling.
• Basic understanding of software testing, User Acceptance Testing (UAT), Snowflake, and web development principles to effectively communicate and collaborate with technical teams.
• Motivated self-starter, comfortable navigating through ambiguity to evaluate complex data and analyze data from multiple angles and deliver insights that directly impact the University.
• Demonstrated ability to thrive in a fast-paced environment and make independent decisions exercising sound judgment.
• Meticulous with demonstrated writing, editing, verbal communication, organizational, and analytical skills.
• Demonstrated ability to lead a group toward the successful completion of a project.

Must be a current Radford University employee to apply.

Agency only recruitment; must be a current Radford University employee to apply. Please submit a resume and cover letter.

Agency only recruitment; must be a current Radford University employee to apply.

Is this position Grant Funded: No

Is this position restricted: No

Is this position eligible for telework: No

Hours Per Week: 40

Months per Year: 12

Statement of Economic Interest

Required:

No

FLSA Status: Exempt

Work Classification: Administrative & Professional Faculty

Normal

Work Schedule:

Employee Classification: Professional - Lecturer

Department: Institutional Effectiveness

Salary: Commensurate with Experience

Department Contact Name: Jessica Stowell

Department Contact Phone:

Department Contact Email: jstowell1

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