Posting DetailsPosting 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
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
