Posting Details

Posting Information

Posting Number
PG194783EP

Internal Recruitment
No

Working Title
Data Science Lead

Anticipated Hiring Range
Commensurate with education and experience ($110,000-$122,000)

Work Schedule
Monday through Friday, 8 am to 5 pm (additional work outside of standard hours may be required due to business needs)

Job Location
Raleigh, North Carolina

Department
University Data and Analytics

About the Department

University Data and Analytics (UDA) is NC State's institutional research office and the responsible unit for university-level data and analytics.

UDA is committed to:

• Empowering leaders and decision makers with the accurate, timely, and actionable information needed to advance the university's mission;
• Maximizing the value and availability of institutional data resources for the broader NC State community; and
• Providing NC State's stakeholders, partners, and external organizations with official university data.

Essential Job Duties

The Data Science Lead will play a pivotal role in advancing NC State's data and analytics capabilities. Applying advanced analytical and statistical techniques, methods, and tools, this role will develop and implement predictive models and other sophisticated analytics solutions. Working within University Data and Analytics (UDA), the Data Science Lead oversees a specialized team of up to three data scientists dedicated to developing and delivering analytical products and services that provide actionable insights, drive strategic decision-making, and enhance overall institutional effectiveness.

As the Data Science Lead, you will oversee a small team of data scientists responsible for developing advanced analytical solutions that support institutional planning and decision-making at NC State. You will apply statistical methods, predictive modeling, artificial intelligence, and machine learning to analyze complex university data and address institutional needs and uncover insights that support better outcomes. Additionally, you will coordinate data science projects, collaborate with partners across University Data and Analytics (UDA), and provide day-to-day leadership and supervision of the Data Science team.

Key Impact Areas include:

• Develop Advanced Analytics Solutions: Design, develop, and optimize predictive models, artificial intelligence and machine learning solutions, and other advanced analytics to address university needs and support institutional decision-making.
• Supervise and Support the Data Science Team: Provide day-to-day supervision and leadership for the Data Science team, including coordinating work assignments, setting team priorities, coaching and developing staff, managing performance, and supporting a collaborative environment focused on continuous improvement and high-quality work.
• Collaborate Across UDA: Partner with Institutional Reporting, Research and Analysis, Business Intelligence, Data Governance, UDA leadership, and other stakeholders to provide data science expertise and support cross-functional initiatives.
• Coordinate Data Science Projects: Coordinate the execution of data science initiatives by tracking project progress, facilitating collaboration among stakeholders, managing project timelines and risks, and supporting alignment with UDA and institutional priorities.
• Support Responsible and Reliable Data Science Practices: Apply appropriate practices for model development and evaluation, data governance, security, privacy, and ethical use to support accurate, reliable, and responsible analytical solutions.

If you are a person who has strong technical data science expertise, experience working with complex data and analytical problems, and the ability to supervise and support a small team of data scientists, we encourage you to apply.

Other Responsibilities

Perform other related duties as assigned or required to support the work of University Data and Analytics and university priorities.

Qualifications

Minimum Education and Experience

Master's degree in data science, business analytics, computer science, statistics, mathematics, economics, or a related quantitative field and two years of relevant experience; or Bachelor's degree with at least three years' of relevant experience; or an equivalent combination of education, training and relevant experience. All degrees must be received from appropriately accredited institutions.

Other Required Qualifications

• Data science experience applying predictive analytics, statistical modeling, or machine learning to complex data and real-world problems.
• Programming expertise in Python, R, SAS, or a comparable language used for data science and advanced analytics.
• Knowledge of statistical methods, data modeling, and data preparation techniques used to produce reliable analytical results.
• Proven to be effective as a leader, mentor, or supervisor of professionals in data science, analytics, or a closely related technical field.
• Communication skills that convey complex data science concepts, analytical results, and recommendations to audiences with varying levels of technical expertise.

Preferred Qualifications

• Experience applying data science to complex institutional or organizational challenges within higher education, government, research, or nonprofit settings.
• Advanced knowledge of machine learning methods, frameworks, and tools used to develop and evaluate predictive models.
• Use of data visualization applications such as Power BI or Tableau..
• Knowledge of cloud-based data and computing platforms such as AWS, Azure, or Snowflake.
• Ph.D. in data science, business analytics, computer science, statistics, mathematics, economics, or a related quantitative field.

Required License(s) or Certification(s)

n/a

Valid NC Driver's License required
No

Commercial Driver's License required
No

Recruitment Dates and Special Instructions

Job Open Date
09/03/2026

Anticipated Close Date
10/1/2026, if posting is active we are still accepting and reviewing applications

Special Instructions to Applicants

Please include a cover letter, resume and contact information for three professional references.

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Position Details

Position Number
00110588

Position Type
EPS/SAAO

Full Time Equivalent (FTE) (1.0 = 40 hours/week)
1.0

Appointment
12 Month Recurring

Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather

Mandatory Designation - Emergency Events
Non Mandatory - Emergency Event

Department ID
310101 - University Data and Analytics