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Nba Data Science Jobs in Oklahoma (NOW HIRING)

Nba Data Science information

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 are popular job titles related to Nba Data Science jobs in Oklahoma?

For Nba Data Science jobs in Oklahoma, the most frequently searched job titles are:

Infographic showing various Nba Data Science job openings in Oklahoma as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.

Analyst Intern / Basketball Operations

Oklahoma City Thunder

Oklahoma City, OK • On-site

Internship

Posted 3 days ago

New


Job description

The Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or outcome, we’re driven to shape the future of our industry, our community, and our own legacy in sports.

We’re looking for people who want to make an impact – individuals with the courage and ambition to think and work differently and an endless desire to initiate progress. At the Thunder, you’re joining a culture that performs at the highest level and empowers you to realize your greatest potential.

As an Analyst Intern in Basketball Operations, your work is vital to uncovering valuable insights that help shape the organization’s future — influencing strategy, decision-making, and performance to build the optimal conditions for talent to thrive.

You will work on every aspect of the data pipeline from building and maintaining information systems to research, analysis, and presentation. You will use data to impact significant decisions made at the organization.

Responsibilities:

  • Work with diverse, large, and sophisticated datasets to solve dynamic problems

  • Perform statistical analysis and predictive modeling, collaborating with stakeholders in various functions

  • Communicate and present findings through impactful reports and presentations

Qualifications:

  • Preferably enrolled in an accredited college or university pursuing a degree in data science, computer science, statistics, mathematics or economics

  • Some experience with technical tools for analysis such as R (Tidyverse, etc.), Python, SQL, etc.

  • Some experience in areas such as database systems, data wrangling, and data visualization

  • Knowledge of Shiny, Markdown, JavaScript, and HTML/CSS a plus

  • Experience working with and protecting confidential information

  • Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of stakeholders

  • Passion for basketball and sports are key

Additional details:

This is a remote paid internship reporting into the Insight & Foresight pillar. Work schedule may include working on short notice as well as work on evenings, weekends, and holidays. Work hours will total no more than 29 hours per week.

The Thunder recognizes that teams with a variety of backgrounds, perspectives and skills make a stronger company. As an Equal Opportunity Employer, the Thunder organization considers applicants fairly on the basis of qualifications, experience and business needs and provides equal opportunity regardless of race, color, age, sex, ancestry, ethnicity, national origin, religion, veteran status, marital status, pregnancy, disability, gender identity, sexual orientation, or any other legally protected status. Applicants are considered regardless of past legal system involvement, based upon the needs of the role, nature of and recency of legal history. The Thunder is committed to a welcoming and inclusive environment for all employees through its RAVE culture – Respect and Value Everyone.