Senior Data Scientist, Student Success Analytics (Remote)

Texas A&M University System; Oregon; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive health benefits

Paid vacation, sick leave, and publicH

Defined benefit retirement plan (TRS)

Defined contribution retirement option

Tuition assistance

Wellness programs

Job summary

Texas A&M University System Offices is seeking a Senior Data Scientist, Student Success to advance analytics across admissions, enrollment, retention, and degree outcomes. The role develops enterprise analytics and decision-support tools to inform planning and resource allocation across the Texas A&M University System.

The position requires extensive experience in data analysis, reporting, and translating complex findings for executive leadership, with strong skills in SQL, Python, R, and data

Qualifications

• Bachelor's degree in data science, statistics, economics, or related field.
• Ten years of experience conducting advanced quantitative analysis, developing performance metrics, and translating findings into strategic recommendations, with focus on student success analytics.

Responsibilities

• Administrate the adoption and development of the Student Success Intelligence Platform.
• Conduct analyses across the student success lifecycle (admissions funnel, enrollment, retention, persistence, re-enrollment, transfer pathways, graduation and outcomes).
• Develop comprehensive set of student success measures.
• Coordinate system-level analyses and reporting for state and federal reporting requirements.
• Collaborate with institutional research and student success professionals across the System.
• Other duties as assigned.

Skills

SQL

Python

R

Data storytelling

Data visualization

Education

Bachelor's degree in data science or related field

Ten years quantitative analysis experience

Tools

Power BI

Tableau

Python (pandas)

Job description

Texas A&M University System Offices is seeking a Senior Data Scientist, Student Success to advance analytics across admissions, enrollment, retention, and degree outcomes. The role develops enterprise analytics and decision-support tools to inform planning and resource allocation across the Texas A&M University System.

The position requires extensive experience in data analysis, reporting, and translating complex findings for executive leadership, with strong skills in SQL, Python, R, and data