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Nba Data Science Jobs in New York (NOW HIRING)

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... You will work closely with data scientists, ML engineers, software engineers, and sports scientists ...

Senior ML/Data Engineer

New York, NY ยท On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... You will work closely with data scientists, ML engineers, software engineers, and sports scientists ...

Senior ML/Data Engineer

New York, NY ยท On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... You will work closely with data scientists, ML engineers, software engineers, and sports scientists ...

Agentic AI Engineer

New York, NY ยท On-site

$107K - $214K/yr

Since 2006, we've helped more than 5,000 teams use data, science and technology to improve athlete health, readiness and performance. Our customers include teams across the NFL, NBA, NHL, MLS, EPL ...

Agentic AI Engineer

New York, NY ยท On-site

$107K - $214K/yr

Since 2006, we've helped more than 5,000 teams use data, science and technology to improve athlete health, readiness and performance. Our customers include teams across the NFL, NBA, NHL, MLS, EPL ...

Agentic AI Engineer

New York, NY ยท On-site

$107K - $214K/yr

Since 2006, we've helped more than 5,000 teams use data, science and technology to improve athlete health, readiness and performance. Our customers include teams across the NFL, NBA, NHL, MLS, EPL ...

Sports Operations Engineer

New York, NY ยท On-site

$76K - $102K/yr

Create intelligent systems that handle pre-game, in-play, and futures markets across NFL, NBA, MLB ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

Sports Operations Engineer

New York, NY

$76K - $102K/yr

Create intelligent systems that handle pre-game, in-play, and futures markets across NFL, NBA, MLB ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

Nba Data Science information

See New York salary details

$18.6K

$119.3K

$229K

How much do nba data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for nba data science in New York is $119,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,210.00 and $170,003.00 per year, depending on experience, location, and employer.

What is an NBA Data Science job?

An NBA Data Science job involves using statistical modeling, machine learning, and data analysis to evaluate player performance, optimize team strategies, and improve decision-making in basketball operations. Professionals in this role work with large datasets, including player tracking data, game statistics, and biomechanics, to extract actionable insights. They collaborate with coaches, front-office staff, and analysts to enhance scouting, game tactics, and player development. Strong programming skills in Python or R, along with expertise in data visualization and predictive modeling, are essential for success in this field.

What does an NBA Data Science professional do?

As an NBA Data Science professional, your day-to-day work often involves cleaning and analyzing large datasets on player performance, in-game events, and scouting information. You will develop predictive models, create data visualizations, and interpret statistical results to support coaching staff and front-office decision-makers. Collaboration with coaches, video analysts, and other departments is common, as you will help translate data into actionable insights. Additionally, you'll stay up to date with the latest advancements in basketball analytics and may be asked to present findings in meetings or reports. The role is dynamic and impactful, offering opportunities to influence game strategy and long-term team development.

What are the key skills and qualifications needed to thrive in the NBA Data Science position?

To thrive in NBA Data Science, you need strong analytical skills, expertise in statistics, programming proficiency (usually in Python or R), and a deep understanding of basketball data and metrics, typically supported by a degree in statistics, computer science, mathematics, or a related field. Familiarity with data visualization tools, SQL databases, and machine learning frameworks is highly valued, and additional certifications in data science or analytics are beneficial. Effective communication, teamwork, and problem-solving skills set standout candidates apart, as the role requires translating complex data insights for coaches, managers, and other non-technical stakeholders. These skills are essential to drive data-informed decision-making that can impact team strategy and player performance within a fast-paced NBA environment.

What job categories do people searching Nba Data Science jobs in New York look for?

The top searched job categories for Nba Data Science jobs in New York are:

Infographic showing various Nba Data Science job openings in New York as of August 2026, with employment types broken down into 4% Internship, 4% As Needed, 88% Full Time, and 4% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $119,285 per year, or $57.3 per hour.

Data Scientist (Brooklyn Nets - Basketball Operations)

Brooklyn Sports & Entertainment

Brooklyn, NY โ€ข On-site

$61K - $62K/yr

Full-time

Re-posted 4 days ago


Job description

SUMMARY

Theย Brooklyn Nets Basketball Operations department is seeking a passionate, creative, and highly analytical Data Scientist to help advance the organization's basketball analytics capabilities. This role is dedicated exclusively to supporting the Brooklyn Nets Basketball Operations team and will develop, deploy, and continuously improve predictive models, analytical frameworks, and data visualization tools that directly influence basketball decision-making across the organization.ย 

Working closely with front office executives, coaches, scouts, and fellow Basketball Analytics team members, this individual will transform complex basketball data into actionable insights that inform player evaluation, roster construction, game strategy, player development, and organizational planning. This role requires both strong machine learning expertise and a deep passion for basketball, along with the curiosity to challenge existing methodologies and introduce innovative approaches that push the organization forward.ย 

This position is part of Brooklyn Sports & Entertainment but is dedicated exclusively to the Brooklyn Nets Basketball Operations department. Unlike many roles within the organization that support multiple business units, this role works directly with the Brooklyn Nets and their Basketball Operations leadership to drive basketball strategy and decision-making.ย 

WHAT YOU WILL DO

  • Enhance and improve existing player evaluation models while developing new predictive metrics that support basketball decision-making across the Basketball Operations department.ย 
  • Design, develop, deploy, and maintain machine learning models that generate actionable insights for roster construction, player evaluation, scouting, player development, and game strategy.ย 
  • Evaluate model performance and establish monitoring frameworks to ensure predictive accuracy, reliability, and continuous improvement.ย 
  • Build intuitive and visually compelling dashboards and data visualizations that improve the accessibility and adoption of analytics products throughout Basketball Operations.ย 
  • Partner with Basketball Operations leadership, coaching staff, scouting, and front office personnel to identify analytical opportunities and translate business questions into scalable analytical solutions.ย 
  • Collaborate with members of the Basketball Analytics team to design and implement basketball software tools and research initiatives.ย 
  • Critically evaluate existing metrics and analytical methodologies while identifying opportunities to improve current models or create entirely new approaches.ย 
  • Analyze large and complex basketball datasets, including player tracking and event-level data, to uncover meaningful trends and competitive advantages.ย 
  • Document analytical methodologies, model assumptions, and technical processes to support knowledge sharing and long-term maintainability.ย 
  • Stay current with emerging developments in machine learning, artificial intelligence, basketball analytics, and sports technology to bring innovative ideas to the organization.

WHAT YOU WILL BRING

  • 3-7 years of professional experience in data science, machine learning, predictive modeling, or a related analytical field.ย 
  • Bachelor's degree or higher in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative discipline, or equivalent practical experience.ย 
  • Demonstrated experience developing, testing, and deploying complex machine learning models.ย 
  • Strong programming skills in Python, R, and SQL.ย 
  • Experience with modern data science libraries including Pandas, NumPy, Scikit-learn, XGBoost, PyTorch, TensorFlow, or similar frameworks.ย 
  • Experience working with large, complex datasets and production machine learning environments.ย 
  • Experience using GitHub, version control, and collaborative software development practices.ย 
  • Strong analytical thinking with exceptional attention to detail.ย 
  • Ability to communicate complex analytical concepts to both technical and non-technical audiences.ย 
  • Excellent written, verbal, and presentation skills.ย 
  • Strong curiosity, creativity, and passion for identifying new basketball metrics and analytical approaches.ย 
  • Demonstrated ability to thrive in a fast-paced, collaborative, and continuously evolving environment.ย 
  • Genuine passion for the NBA and the game of basketball.ย 

Preferred Qualificationsย 

  • Experience with Snowflake.ย 
  • Experience developing interactive analytics applications using R Shiny, Tableau, Power BI, Plotly, or similar visualization platforms.ย 
  • Experience with JavaScript visualization libraries including D3.js, Victory, Recharts, or Nivo.ย 
  • Experience applying computer vision techniques to sports analytics.ย 
  • Experience working with player tracking technologies such as Hawk-Eye or similar spatial tracking systems.ย 
  • Experience analyzing sports science, player performance, or medical datasets, including injury forecasting.ย 
  • Strong understanding of modern basketball analytics methodologies and advanced metrics.ย 
  • Experience working with cloud-based analytics platforms such as AWS, Azure, or Google Cloud Platform.ย 

WHO YOU ARE

  • Passionate about using data to improve basketball decision-making.ย 
  • Curious, innovative, and eager to challenge conventional thinking.ย 
  • Collaborative and comfortable working across multiple Basketball Operations functions.ย 
  • Self-motivated with the ability to manage multiple priorities independently.ย 
  • Detail-oriented while maintaining a strategic perspective.ย 
  • Committed to continuous learning and sharing knowledge with teammates.ย 
  • Driven by both analytical rigor and a genuine love of basketball.ย 

COMPENSATION

Salary Range: $150,000-$170,000 + Benefits

WORK ENVIRONMENT

This position is based primarily in the Brooklyn Nets Training Center located in Industry City, Brooklyn.ย 

Because this role directly supports the Brooklyn Nets Basketball Operations, the schedule will not follow a traditional Monday through Friday workweek. The successful candidate should expect to work non-conventional hours aligned with the Brooklyn Nets basketball calendar, including evenings, weekends, holidays, training camp, preseason, regular season, postseason, NBA Draft, Summer League, free agency, and other key Basketball Operations events. Flexibility and availability during critical basketball periods are essential to success in this role. ย 

This role may require regular travel in support of the Brooklyn Nets Basketball Operations department. Travel may include team road trips, training camp, Summer League, NBA Draft, scouting events, free agency, and other basketball-related activities. The frequency and duration of travel will vary throughout the year based on the team's schedule and business needs.

We are an Equal Employment Opportunity ("EEO") Employer. It has been and will continue to be a fundamental policy of the Company not to discriminate on the basis of race, color, creed, religion/creed, gender, gender identity, transgender status, pregnancy and lactation accommodations, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage, immigration, or citizenship status, veteran or military status, disability, genetic information, height and weight, arrest or conviction record, caregiver status, credit history, unemployment status, sexual and reproductive health decisions, salary history, status as a victim of domestic violence, stalking, and sex offenses, or any other characteristic prohibited by federal, state or local laws.ย