Remote Data Scientist, Student Success Analytics

James Madison University; Harrisonburg (VA); Remote; USD 90,000 - 130,000; Full time

Job summary

James Madison University is seeking a Data Scientist in Student Success Analytics to transform student data into actionable, ethical insights. You will work with CRM/LMS/SIS data, advance data maturity, and influence leadership decisions.

The role is telework eligible and involves cross-campus collaboration to improve retention and outcomes. You will shape data collection, design analyses, and ensure privacy, equity, and responsible AI use in analytical workflows, partnering with SAS, IT, PAIR,

Qualifications

• MS in quantitative disciplines or PhD preferred.
• Proficiency in SQL and at least one programming language (Python or R).
• Experience with statistical methods and large data sets.
• Ability to communicate data insights clearly and ethically.

Responsibilities

• Analyze data to generate actionable insights for early student success teams.
• Design and evaluate descriptive, predictive, and causal analyses; document assumptions.
• Communicate insights via visualizations, reports, and presentations.
• Collaborate on data management, privacy, and ethics across campus.
• Explore responsible uses of generative AI for analytics workflows.

Skills

SQL

Python

R

Data analysis

Data visualization

Education

MS in Statistics

MS in Computer Science

MS in Operations Research

MS in Mathematics

MS in Physics

MS in Finance

PhD in Statistics

Tools

SQL databases

Data visualization libraries/tools

Job description

James Madison University is seeking a Data Scientist in Student Success Analytics to transform student data into actionable, ethical insights. You will work with CRM/LMS/SIS data, advance data maturity, and influence leadership decisions.

The role is telework eligible and involves cross-campus collaboration to improve retention and outcomes. You will shape data collection, design analyses, and ensure privacy, equity, and responsible AI use in analytical workflows, partnering with SAS, IT, PAIR,