Data Science Lead: AI, ML & Predictive Analytics

NC State University; Raleigh (NC); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Medical

Dental

Vision

FSA

Retirement Programs

Disability Plans

Life Insurance

Accident Plan

Paid Time Off

Holidays

Job summary

NC State University is seeking a Data Science Lead within University Data and Analytics to advance data and analytics capabilities. You will oversee a small team of data scientists, guiding development of advanced analytical solutions and ensuring alignment with institutional priorities.

Responsibilities include coordinating projects, applying AI/ML methods, and collaborating with stakeholders to deliver actionable insights for planning and decision-making.

Qualifications

• Data science experience applying predictive analytics, statistical modeling, or machine learning to complex data.
• Programming in Python, R, SAS, or similar languages for data science.
• Strong leadership and mentorship capabilities; experience supervising professionals.

Responsibilities

• Design, develop, and optimize predictive models and AI/ML solutions.
• Supervise and support the Data Science Team with day-to-day leadership.
• Collaborate with cross-functional stakeholders to deliver analytical products and insights.
• Coordinate data science projects, track progress, and manage risks.
• Ensure responsible data practices including governance, security, privacy.

Skills

Data science experience

Python

R

Statistical methods

Leadership

Communication skills

Education

Master's degree

PhD (preferred)

Tools

Power BI

Tableau

AWS/Azure/Snowflake

Job description

NC State University is seeking a Data Science Lead within University Data and Analytics to advance data and analytics capabilities. You will oversee a small team of data scientists, guiding development of advanced analytical solutions and ensuring alignment with institutional priorities.

Responsibilities include coordinating projects, applying AI/ML methods, and collaborating with stakeholders to deliver actionable insights for planning and decision-making.