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Sports Data Science Internship Jobs in Raleigh, NC

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology. * 6 months or more experience (academic, internship, or professional ...

The Community Research Collaborative Intern offers a variety of internship opportunities for students eager to explore applied research, data science, evaluation, design, and community engagement.

The Community Research Collaborative Intern offers a variety of internship opportunities for students eager to explore applied research, data science, evaluation, design, and community engagement.

Currently enrolled in a bachelor's or master's degree program in computer science, data science, or ... Internships at ABB within the United States are not eligible for company-sponsored medical benefits ...

Associate

Apex, NC · On-site

$70K - $75K/yr

The Associate, Data Science will perform data analysis of Clever Devices customers related to ... Prior internship or other work experience in a corporate environment. * Basic understanding of ...

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Sports Data Science Internship information

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$11

$21

$40

How much do sports data science internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for sports data science internship in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is a Sports Data Science Internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

What are the key skills and qualifications needed to thrive as a Sports Data Science Intern, and why are they important?

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

What types of projects or tasks can I expect to work on during a Sports Data Science Internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

What is the difference between Sports Data Science Internship vs Sports Data Analyst?

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

What are popular job titles related to Sports Data Science Internship jobs in Raleigh, NC? For Sports Data Science Internship jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Sports Data Science Internship jobs? Cities near Raleigh, NC with the most Sports Data Science Internship job openings:
Lecturer of Data Science

$4.0K/mo

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

407th of 553 rated colleges and universities


Job description

Posting Details
Posting Information
Posting Number
PG193056EP
Internal Recruitment
No
Working Title
Lecturer of Data Science
Anticipated Hiring Range
$4K per credit (additional compensation for course customization or supervisory duties as needed).
Work Schedule
Varies depending on course assignment. (3 hours per week per credit or course equivalent.)
Job Location
Raleigh,NC
Department
Data Science and AI Academy
About the Department
The Data Science and AI Academy is the first of several NC State Academies, which are true university-wide efforts involving all 10 colleges. The Data Science and AI Academy's goal is to network and catalyze data science across all three pillars of the university's land-grant mission: education, research and service to the state of North Carolina. At NC State, data science and AI are for everyone.
The Data Science and AI Academy offers 1-credit project-based courses and customized non-credit courses on a variety of topics grounded in our ADAPT course model (All Campus Data Science Accessible Project-based Teaching and Learning). We seek instructors from industry, government and academia who are excited about broadening participation in data science and welcoming learners from many disciplines.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being.
What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
The successful candidate(s) will teach undergraduate and/or graduate courses in Data Science according to the Data Science and AI Academy's needs and the applicant's knowledge, skills, and ability. Opportunities are also available to teach professional, customized, and continuing education Data at Work courses.
Our courses attract undergraduates, graduate students, faculty and staff from across the university as well as learners outside of the university. We have permanent and special topics courses at the 200 level (no prerequisites), 400 level (skills-based prerequisites, such as particular programming concepts) and graduate level courses at the 500 level. Instructors will join a professional teaching community that meets twice monthly to discuss data science teaching and learning research and practice.
The for-credit courses meet for 50 minutes once a week for a semester and can be delivered in person or online. Data at Work (not-for-credit) courses have a customized schedule.
Core Courses:
  • Introduction to R/Python for Data Science,
  • Introduction to Data Visualization,
  • Data Communication,
  • Introduction to AI Ethics,
  • Data Science for Social Good,
  • Introduction to Data Science for Cybersecurity
  • Measuring Success
  • Data Wrangling and Web Scraping,
  • Data Internships Preparation for Social Impact
  • Exploring Machine Learning

Appointments will be for one or two semesters with the possibility of renewal.
Note that this position is only for teaching a few (often just 1) credits, not full-time.
Other Responsibilities
Qualifications
Minimum Education and Experience
  • Requires master's degree

Other Required Qualifications
  • Excellent strong communication and interpersonal skills and sense of collaboration.

Preferred Qualifications
N/A
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
12/04/2023
Anticipated Close Date
Special Instructions to Applicants
Please submit a curriculum vitae, cover letter and 3 reference contacts for consideration. Also required is a teaching statement of no more than 1 page that includes how your teaching practices help create a classroom environment that aligns with the ADAPT course model (see DSA website for details) and demonstrates NC State's goals and values as described in the Wolfpack 2030 Powering the Extraordinary Strategic Plan: https://strategicplan.ncsu.edu/current-plan/wolfpack-2030-powering-the-extraordinary/
In your cover letter please list which of the following core courses you would like to be considered for as an instructor:
  • Introduction to R/Python for Data Science,
  • Introduction to Data Visualization,
  • Data Communication,
  • Introduction to AI Ethics,
  • Data Science for Social Good,
  • Introduction to Data Science for Cybersecurity
  • Measuring Success
  • Data Wrangling and Web Scraping,
  • Data Internships Preparation for Social Impact
  • Exploring Machine Learning

Optional: if you are interested in proposing a new course, include a draft of a course idea based on theADAPT course model that includes the course title, a short course description, 4 to 6 learning objectives, an idea for final project, the level of the course (200, 400 or 500) and a list of prerequisite skills that are required for 400 and 500 level courses.
Position Details
Position Number
DSA2024F-1
Position Type
Non-Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week)
.075
Appointment
Non-Recurring
Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events
Non Mandatory - Emergency Event
Department ID
231010 - Data Science Academy
EEO
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.

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About North Carolina State University

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North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887