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Nba Computer Science Jobs (NOW HIRING)

Ball Arena

Data Engineer

Denver, CO · On-site

$75K - $95K/yr

... Nuggets (NBA), the Colorado Avalanche (NHL), Colorado Mammoth (NLL), Colorado Rapids (MLS ... Bachelor's degree in Computer Science, Data Science, Information Systems, Accounting, Finance, or ...

AEG

Associate Data Scientist - Originations

Atlanta, GA · On-site

$85K - $115K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Computer science, statistics, math, physics, economics, etc. * Strong coding skills and ability to ...

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$56.5K

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How much do nba computer science jobs pay per year?

As of May 30, 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 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.

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.

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.
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 May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.
Senior Data Science Manager, Growth & Retention Marketing

Senior Data Science Manager, Growth & Retention Marketing

PrizePicks

Atlanta, GA • On-site, Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Growth & Retention Marketing, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.
What you'll do:
  • Lead a team of data scientists, covering topics across retention and acquisition marketing
  • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
  • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
  • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
  • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
  • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
  • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals
What you have:
  • 7+ years of experience in data science & analytics
  • 5+ years of experience in a marketing, customer, or revenue data-related role
  • 3+ years of experience managing or mentoring data scientists, analysts, or engineers
  • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred
  • Proven experience in building and implementing production-grade machine learning models in an operations support capacity
  • Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
  • Exceptional communicator, with experience presenting to senior leadership
  • Ability to influence cross-functional partners (Marketing, Finance, Product)
  • Comfortable balancing hands-on work with team leadership
  • Technical Skills
    • Strong statistical proficiency
    • Python for statistical computing, model development, and data visualization
    • Advanced SQL
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 5/11/2026
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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