Sr. Data Scientist

The Sr. Data Scientist role at Brigham Young University supports institutional research and assessment by applying advanced data science techniques to build predictive models, perform sophisticated statistical analysis, and translate complex datasets into actionable insights for university leadership. This position works closely with campus stakeholders and helps partners use interactive reporting tools and data resources.

Key Responsibilities

• Develop predictive models and apply advanced statistical and machine learning techniques to institutional data.
• Analyze and integrate data from multiple sources to identify trends and address strategic university questions.
• Design and evaluate studies that measure the effectiveness of student success initiatives and institutional programs.
• Create dashboards, reports, and data visualizations that communicate actionable insights to university leadership.
• Develop and maintain automated reporting tools and analytical data structures.
• Address ad hoc analytical requests, documenting methods, assumptions, and findings.
• Train campus partners on interactive reporting tools and data resources.
• Stay current with emerging data science, analytics, and artificial intelligence methodologies to strengthen institutional research capabilities.

Required Qualifications

• Strong commitment to the mission of BYU.
• Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, or a related field, plus two years of related experience, or an equivalent combination of education and experience.
• Expertise in Bayesian statistical modeling and advanced statistical analysis.
• Experience with predictive modeling, machine learning, and data visualization.
• Proficiency in Python, SQL, R, or similar statistical programming languages.
• Strong analytical, project management, and problem-solving skills.
• Excellent written and verbal communication skills, including the ability to present technical concepts to diverse audiences.
• Ability to manage multiple priorities and work independently and collaboratively.

Technologies

• Bayesian statistical modeling
• Python
• SQL
• R
• Tableau

Preferred Qualifications

• Ph.D. in a related field and two to four years of relevant experience.
• Experience in higher education institutional research or assessment.
• Experience developing Tableau dashboards and other data visualization products.
• Experience evaluating educational programs using causal or quasi-experimental methods.

Location and Pay

Location: Provo, UT (onsite).
Salary: USD 118,500 - 154,000 per yearly.
Typical Starting Pay: $118,500 - $154,000.
Pay Grade: 56T.

Benefits

• 401k: BYU automatically contributes 8% at no cost to you. If you contribute 5%, BYU adds an additional 4% (Rehires may qualify for different retirement plans).
• Generous vacation and sick time, plus 13 paid holidays.
• Employee assistance program for the employee and all members of their household.
• Tuition benefits for employees and eligible family members.
• Access to athletic facilities.
• Excellent medical/dental benefits.
• Short/long term disability benefits.
• Paid parental and maternity leave.
• Wellness program.
• Free on-campus parking.
• Free UTA passes for employee, spouse, and qualified dependents.
• Discounts at the BYU Store and for many events at BYU.

Required Documents

• All staff positions require a resume.
• Refer to the job posting for any additional required documents.