Graduate - Technology and Data Intern
About the role
The 2027 NBA Summer Internship is a 10‑week program running from June 7 – August 13, 2027. It offers participants the opportunity to learn about the business of basketball, develop critical career skills, and contribute to meaningful projects across a range of departments in the NBA and its affiliate leagues (WNBA & G League). In addition to on‑the‑job experience, interns are invited to participate in a broad array of professional development programming as well as community and social experiences. Interns should reflect excellent academic standing and have strong written and verbal communication skills, along with leadership skills demonstrated through relevant extracurricular or community activities.
Selected interns will be placed in one of the following technology‑focused departments:
- Data Strategy & Analytics (DSA) – captures, manages, and analyzes fan and business data to drive informed decision‑making across the NBA and its affiliated leagues. Partners with business units to support initiatives such as content personalization, customer insights, scheduling, pricing, marketing, fan engagement, and revenue growth.
- Direct‑to‑Consumer (DTC) – centered around creating best‑in‑class digital and broadcast experiences for NBA fans. Includes direct‑to‑consumer product offerings (e.g., the NBA App), digital subscriber acquisition strategies including NBA ID, and the technology that powers digital operations and live game broadcast distribution (e.g., Replay Center technology).
- Information Technology (IT) – designs, develops, and supports the technology infrastructure that powers the NBA’s global operations, business initiatives, and major league events. Enables employee collaboration, supports game and venue technology, and protects the organization through a comprehensive cybersecurity program. Provides infrastructure and on‑site support for major events such as All‑Star, the Finals, and the Draft.
Interns will work on a range of projects that may include software development, programming, bug fixes, incident prediction, data analysis, fan engagement studies, database management, interface design, performance improvements, revenue and viewer optimization, and user experience. These roles require a foundational mastery of AI technologies in driving project execution and achieving business objectives.
Responsibilities
- Collaborating on cornerstone digital products to improve fan experience
- Creating and maintaining user interfaces, optimizing site performance, and ensuring a seamless user experience
- Coordinating with data engineers, data analysts, and BI developers on end‑to‑end model development and deployment to the wider NBA business infrastructure
- Designing statistical analysis and visualizations that relate to league structure, rule changes, game play, improvements to the competition format, and implementation of technologies to improve player health, game integrity, and fan engagement across all NBA properties (NBA, WNBA, NBA G League, NBA 2K League)
- Performing various cross‑departmental quantitative analyses regarding on‑court activities and trends, used to evaluate the NBA’s core product
- Writing TypeScript/JavaScript code for NBA products across the ever‑growing ecosystem of HTML5 powered connected devices (Xbox, PlayStation, Samsung, Hisense, Chromecast, Comcast, and others)
- Completing trend analyses, including reviewing events and incidents, and providing summary reports
- Following workflow processes, automations, and integrations
- Iterating AIOPs ML modules based on updated insights and learnings
- Identifying and resolving technical issues and bugs across NBA products and websites
- Integrating data from various sources (player statistics, schedules, live scores) into the website using APIs to enhance the site’s content
- Synthesizing business requirements and incorporating them into platform capabilities and scalability
Requirements
Enrolled in a graduate degree program majoring in one of the following:
- Data Science: Data Analytics, Business Analytics, Information Systems, Computer Science, Marketing Analytics, Marketing Research, Sports Analytics
- Technology: Computer Science, Information Technology, Information Systems, Computer Engineering, Cybersecurity, Engineering
Skills
- Strong understanding of technology and software development
- Able to convey ideas clearly, both in writing and verbally, and collaborate with cross‑functional teams
- Experience with probability and statistics
- Capable of identifying problems and proposing creative solutions
- Exposure to relational databases and SQL
- Experience or desire to learn scripting languages such as Python or R
- Experience with software engineering and system design
- Intermediate background and experience working with Microsoft Excel
- Professional or course‑based experience with analytical projects
Pay
$40 per hour
Benefits
Employees and/or eligible dependents may be eligible to participate in the following company‑sponsored employee benefit programs (eligibility may vary by role):
- Medical
- Short‑term disability
- Mental health coaching/therapy
- Sick time
Schedule
- Program dates: June 7 – August 13, 2027 (10 weeks)
- Remote work option: eligible employees may work remotely one day per week