Location: Raleigh, North Carolina

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

Minimum Experience/Education:
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.

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 or Certification:
n/a

AA/EEO Statement:
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

Location: Raleigh, North Carolina

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

Minimum Experience/Education:
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.

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 or Certification:
n/a

AA/EEO Statement:
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.