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Nba Computer Science Jobs (NOW HIRING)

WSC Sports

Technical Account Manager

Manhattan, NY · On-site

$110K - $130K/yr

... as the NBA, Bundesliga, LaLiga, ESPN - and that's just the beginning of what WSC Sports has to ... Engineering or Computer Science degree/experience * Video/streaming knowledge * Passionate about ...

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Benson Enterprises

Mobile App Specialist

Metairie, LA · On-site

... NFL, NBA, and G-League using our platform to uplift the Gulf Coast and create lasting community ... What You'll Bring: * 2+ years of experience in web development and design, computer science, app ...

PrizePicks

Game Operations - Trading Analyst

Atlanta, GA · On-site +1

$55K - $65K/yr

NFL, NBA, MLB, NHL, CBB, and CFB. * Monitor player projections throughout the day and track any key ... A bachelor's degree in a related field (statistics, computer science, engineering, analytics ...

Ball Arena

IT Intern- Client Support

Denver, CO · On-site

$19.29/hr

... Nuggets (NBA), the Colorado Avalanche (NHL), Colorado Mammoth (NLL), Colorado Rapids (MLS ... Computer Science, Business Administration, Information Systems, Statistics, Math, or similar major.

WSC Sports

Technical Account Team Lead

Manhattan, NY · On-site +1

$130K - $160K/yr

... NBA, Bundesliga, FIBA, ESPN, and many more. This is your chance to directly impact the tools and ... Bonus Points: * Background in Engineering, Computer Science, or a related technical field.

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How much do nba computer science jobs pay per year?

As of Jun 25, 2026, the average yearly pay for nba computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What does a typical workday look like for someone in an NBA Computer Science position?

As an NBA Computer Science professional, your day may involve developing data-driven models, analyzing player and game statistics, and collaborating with coaches, analysts, and other technical staff to enhance team performance. You'll frequently use programming languages and data visualization tools to turn raw data into actionable insights for scouting, player health, and game strategy. Regular meetings with cross-functional teams are common, as is adapting your analysis to fast-evolving game schedules and priorities. This dynamic environment offers both variety in daily tasks and the opportunity to make a measurable impact on team operations.

What jobs can I get with the NBA?

A degree in computer science can lead to various roles such as software developer, data analyst, or IT specialist. Skills in programming, data management, and problem-solving are essential, and certifications in relevant technologies can enhance job prospects. These roles often involve working with data, software applications, or technical systems in diverse industries.

Does the NBA hire software engineers?

The NBA employs software engineers to develop and maintain technology systems such as data analytics, broadcast software, and fan engagement platforms. These roles typically require skills in programming, data management, and familiarity with sports technology tools. Job opportunities can be found through the NBA's official careers page or related sports technology companies.

What is an NBA Computer Science job?

An NBA Computer Science job involves using data analysis, machine learning, and software development to support basketball operations, player performance analysis, and game strategy. Professionals in this field work with large datasets, build statistical models, and develop tools to assist coaches, analysts, and front office staff. They may also be involved in database management, video analysis, and player tracking technologies. Strong programming skills in languages like Python, R, or SQL are commonly required. The role bridges technology and basketball, helping teams gain a competitive edge through data-driven insights.

How much do NBA data scientists make?

NBA data scientists typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. They analyze game data, player performance, and team strategies using statistical tools and programming languages like Python or R.

What is the salary of an NBA waterboy?

An NBA waterboy typically earns around $50,000 to $100,000 per year, depending on the team and experience. The role involves providing hydration and support to players during practices and games, often requiring knowledge of sports nutrition and teamwork. Salaries can vary based on league, team budget, and location.

What are the key skills and qualifications needed to thrive in the Nba Computer Science position, and why are they important?

To excel in an NBA Computer Science role, candidates typically need strong programming skills, data analysis expertise, and a background in computer science or a related field. Proficiency in tools such as Python, R, SQL, and data visualization software, along with knowledge of machine learning frameworks, is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals collaborate across technical and basketball operations teams. These competencies are critical for driving data-informed decisions in player analysis, game strategy, and organizational efficiency within the NBA's tech-driven environment.

More about Nba Computer Science jobs
What are the most commonly searched types of Nba Computer Science jobs? The most popular types of Nba Computer Science jobs are:
What job categories do people searching Nba Computer Science jobs look for? The top searched job categories for Nba Computer Science jobs are:
Nba Computer Science jobs near you
Infographic showing various Nba Computer Science job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 3% Full Time, 88% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Optimization Performance Specialist

Fastbreak AI

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Job description

We are looking for an Optimization Performance Specialist to lead the design, execution and analysis of performance benchmarks across our AI and ML optimization approaches for our sports scheduling platform.
Fastbreak AI is the world leader in sports league scheduling. Our customers include the NBA, NHL, MLS, La Liga, and more than 60 top leagues, each facing some of the most complex scheduling challenges in sports. We are an innovative, collaborative team looking for extraordinary people who enjoy solving big challenges.
Why This Position Is Exceptional
  • You'll partner directly with the world's largest sports leagues on real, high-stakes scheduling challenges.
  • You own the benchmark "truth set" that steers our optimization roadmap.
  • You'll work with a collaborative, intellectually rigorous and passionate team where the best idea wins.
  • Your impact will be visible on screens and scoreboards everywhere.

What You'll Do
You'll apply your computer science and math skills to determine the best algorithmic approaches for different scheduling problems, determine parameter settings, and work closely with other optimization specialists who develop new approaches to these incredibly challenging problems.
You'll be responsible for developing, maintaining and expanding the benchmarking frameworks that measure Fastbreak AI's performance across a wide variety of scheduling and optimization workloads. You will work closely with our research, product and infrastructure teams to ensure that our solvers deliver world-class speed, accuracy and scalability on real-world problems.
This role blends deep algorithmic understanding, data-driven analysis, and hands-on experimentation.
  • Benchmarking & Evaluation
    • Design and maintain benchmarking pipelines for different algorithmic approaches across an ever-growing set of highly proprietary benchmark problems.
    • Develop automated tools for parameter tuning, performance profiling, and regression detection.
  • Performance Analysis
    • Analyze algorithmic performance and identify bottlenecks in computation, model formulation, and solver configuration.
    • Generate detailed benchmark reports and visualizations to guide engineering and research decisions.
    • Collaborate with the optimization team to validate algorithmic improvements.
  • System Integration
    • Maintain version-controlled benchmark datasets and metrics repositories.
    • Integrate benchmark testing into CI/CD pipelines for solver components.

Requirements
  • MS or PhD in Operations Research, Computer Science, Applied Mathematics, or related field.
  • 3+ years of experience in software engineering, data analysis and/or managing computational workloads.
  • Proficiency in Python, scripting, and other programming languages to run experiments, harvest results and extract results & insights.
  • Strong background in algorithmic performance measurement and statistical analysis.
  • Familiarity with running workloads on distributed resources (AWS, Azure, etc).
  • Experience with git, general software engineering practices.

Preferred Experience
  • Experience with discrete optimization and benchmarking efforts such as MIPLIB.
  • Contributions to open-source optimization libraries or benchmark suites.
Location
  • Charlotte, North Carolina.
  • Relocation assistance is available.

Benefits
  • Highly competitive salary and equity package (stock options).
  • Great health, dental and vision insurance and employer-match 401(k).
  • Read more about Fastbreak AI's benefits, mission and culture.

Measure what matters, prove it with benchmarks and ship performance improvements that scale to match our rapid growth. Apply now to help us define the next frontier of intelligent sports optimization.
We are an equal opportunity employer. Fastbreak AI complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.

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