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$56.5K

$83.1K

$98K

How much do nba computer science jobs pay per year?

As of Jul 16, 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?

With a background in NBA computer science, you can pursue roles such as software developer, data analyst, or IT specialist within sports organizations or related tech companies. These jobs often require skills in programming, data management, and understanding of sports analytics tools. Opportunities may also include positions in game development, sports technology, or data engineering focused on sports performance and fan engagement.

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 NBA player has a CS degree?

While some NBA players have pursued college degrees, there are no widely known players with a formal computer science degree. However, a few athletes have shown interest in technology and coding outside their sports careers. For job roles related to computer science, skills in programming languages and data analysis are typically required.

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 hydration protocols.

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.

Is computer science dead due to AI?

Computer science remains a vital field for roles like software development, data analysis, and AI research. AI advances create new opportunities for computer scientists to develop innovative algorithms, tools, and applications, making the discipline more relevant than ever.
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 July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Manager Data Science AI & Machine Learning - Hybrid 4 days

Starcom Mediavest Group Germany Gmbh

Manhattan, NY • On-site

Full-time

Medical, PTO

Posted 16 days ago

Job description

Company Description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.
Job Description
Manager Data Science - Hybrid (4 days) NYC
The Manager, Data Science is to lead and work with clients undergoing a data-driven transformation (DDT) across the globe. The Manager will accelerate and drive the DDT strategy for clients, working in partnership with digital directors, client teams, and practice capability. Furthermore, the role will be a key contributor in ensuring the agency is an industry leader in digital thinking, execution, and value realization for clients through data-driven solutions.
Your Impact:
  • You're passionate about solving real world problems through the application of machine learning and AI
  • Consult with clients to define business problems, and advise on how to apply data science to solve those problems
  • Effectively communicate complex technical concepts, processes and results to non-technical audiences
  • Solve some of today's most complex customer issues by designing, coding and implementing machine learning and AI solutions for our clients, or in support of our AI platforms. Engage across capabilities to ensure project delivered to client expectations
  • Collaborate and knowledge-share with your colleagues by sharing the latest research new data science methods, technologies, and thinking to optimize client solutions and outcomes, as well as through detailed, constructive design and code reviews. Provide expertise and point of view on statistical & machine learning methods and applications to colleagues and clients. Commit time to training junior team members
  • Help establish rigorous standards in machine learning and statistical analysis to ensure consistency across projects. Contribute to the advancement of data science as a capability
  • Provide internal expertise and point of view on data science applications. Ability to apply techniques and learnings from past projects to new projects
  • Contribute to identification of new opportunities within the data science space and support the delivery of projects on time and to the highest possible standards.
  • Effectively manage a small team through constructive, honest feedback, daily leadership and motivation being accountable for project quality and delivery

Qualifications
Your Skills & Experience
  • Master's or PhD in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, or related quantitative field.
  • 9+ years of hands-on experience designing, building, and deploying machine learning solutions in production environments.
  • Strong understanding of MLOps, including CI/CD, Model Versioning, Experiment Tracking, Model Monitoring, Drift Detection, and Automated Retraining.
  • Experience deploying AI/ML solutions into large-scale production environments supporting real-time decisioning and personalization in a hyperscale environment.
  • Strong experience in Telecom or Retail use cases, including customer engagement, loyalty, retention, cross-sell, upsell, and digital commerce optimization.
  • Deep expertise in Recommendation Systems, Next Best Action (NBA), Next Best Offer (NBO), Personalization, Customer Segmentation, Churn Prediction, and Customer Analytics.
  • Hands-on expertise with Classification Models, Ensemble Methods, Anomaly Detection, Forecasting, and Statistical Modelling.
  • Experience developing NLP and Generative AI solutions, including Sentiment Analysis, Text Classification, Transformer Models, LLMs, and RAG applications.
  • Strong programming skills in Python and SQL, with experience using TensorFlow, PyTorch, Scikit-Learn, XGBoost, or similar ML frameworks.
  • Hands-on experience with GCP and Vertex AI, including model development, deployment, monitoring, and optimization.
  • Experience implementing Feature Stores, Feature Engineering Pipelines, and Reusable ML Assets for enterprise-scale AI solutions.
  • Expertise in Model Evaluation and Experimentation, including deterministic vs. model-based approaches, A/B testing, explainability, and business impact measurement.
  • Ability to lead code reviews, mentor data scientists, and provide hands-on technical leadership while remaining actively involved in solution delivery.
  • Exceptional communication and consulting skills with the ability to translate complex AI and machine learning concepts into business value for senior stakeholders.
Set Yourself Apart With
  • Experience in AI-driven product development and digital transformation initiatives.
  • Knowledge of causal inference, time series forecasting, and unsupervised learning techniques.
  • Strong understanding of AI ethics, fairness, and interpretability.
  • Hands-on experience with AI model deployment and monitoring in production environments.

Additional Information
Salary Range: $155,000 - $200,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

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