Data Science Lead — Predictive Analytics for Higher Ed

NC State University; Raleigh, Northern (NC, KY); Hybrid; USD 110,000 - 122,000; Full time

Benefits offered by this job

Childcare benefits

Wellness & Recreation Membership

Wellness Programs

Job summary

NC State University’s University Data and Analytics seeks a Data Science Lead to guide a small team of data scientists, applying advanced analytics, predictive modeling, and machine learning to support institutional planning and decision-making.

You will supervise the Data Science team, coordinate projects with stakeholders across UDA, and promote responsible data practices to deliver reliable insights for leadership.

Qualifications

• Data science experience applying predictive analytics, statistical modeling, or machine learning to complex data.
• Programming expertise in Python, R, SAS, or a comparable language used for data science and analytics.
• Knowledge of statistical methods, data modeling, and data preparation techniques.
• Proven to be effective as a leader, mentor, or supervisor of data science professionals.
• Strong communication skills to convey complex analytics to varied audiences.

Responsibilities

• Develop Advanced Analytics Solutions to address university needs.
• Supervise and support the Data Science Team with coaching and performance management.
• Collaborate across UDA with stakeholders to drive cross-functional initiatives.
• Coordinate Data Science Projects, track progress, manage timelines and risks.
• Promote Responsible and Reliable Data Science Practices for governance and security.

Skills

Data science experience

Python/R/SAS

Statistical methods

Leadership

Communication skills

Education

Master's degree in data science or related field

Two years of relevant experience

Tools

Power BI

Tableau

AWS/Azure/Snowflake

Job description

NC State University’s University Data and Analytics seeks a Data Science Lead to guide a small team of data scientists, applying advanced analytics, predictive modeling, and machine learning to support institutional planning and decision-making.

You will supervise the Data Science team, coordinate projects with stakeholders across UDA, and promote responsible data practices to deliver reliable insights for leadership.