Data Science Lead
North Carolina State University at Raleigh Raleigh, NC
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.
Apply on North Carolina State University at Raleigh's site
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