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Nba Data Science Jobs in Washington, DC (NOW HIRING)

Humana Inc

Lead UI/UX Full Stack Engineer

Ashburn, VA · On-site

$129 - $178/hr

Platform reliability - own uptime, performance, and resilience across NBA platform services ... Bachelor's degree in computer science or related field * 2+ years of project leadership experience ...

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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 Washington, DC?

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Nba Data Science jobs near you
Infographic showing various Nba Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 84% In-person, and 16% Remote job distribution.

Data Engineer (Wizards)

Monumental Sports & Entertainment

Washington, DC • On-site

$130K - $150K/yr

Full-time

Posted 20 days ago

Job description

Monumental Sports & Entertainment (MSE) is one of the leading integrated sports and entertainment companies globally. MSE's portfolio spans premier professional sports teams, world-class venues, and next-generation media properties, with marquee assets including the NHL's Washington Capitals, NBA's Washington Wizards, WNBA's Washington Mystics, NBA G League's Capital City Go-Go, Capital One Arena, and Monumental Sports Network, along with an investment in Team Liquid.
Rooted in the nation's capital, MSE brings Washington, D.C's distinct influence, ambition, and leadership to the global sports and entertainment landscape. The company harnesses the power of its platform to drive continuous innovation and deliver extraordinary experiences that inspire and unite our community, our fans, and our people.
Our success is powered by talented people who bring passion, creativity, and collaboration to everything they do. If you're looking to build your career in a dynamic, fast-paced organization that's shaping the future of sports and entertainment, we'd love to hear from you.
Position Overview:
The Data Engineer is responsible for creating and maintaining data infrastructure in a greenfield stack. This role will work with basketball statistical data from the NBA and other leagues, basketball qualitative data (e.g. scouting reports), and health and performance data, researchers and data scientists to build datasets that are clean and can be analyzed and visualized in web and mobile applications.
Do you have a passion for sports and building scalable data solutions and redefining sophisticated information into meaningful insights?! We would love to hear from you!
Responsibilities:
  • Create and maintain data pipelines to ingest, validate, and organize critical data using orchestration tools (e.g. Prefect).
  • Optimize pipelines and data storage to handle large datasets.
  • Build thorough data validation procedures to ensure data is of the highest quality.
  • Implement medallion architectures to organize our data structure and provide data lineage.
  • Work with key cross-department team members (front office executives, coaches, scouts, salary cap strategists, medical/performance directors, etc.) to build products, implement feedback, and efficiently fix bugs.
  • Keep up to date with emerging technologies like generative AI and integrate them into development workflows without using them as a crutch.
  • Other duties as assigned.
Minimum Qualifications:
  • 3+ years of professional software development experience.
  • Advanced knowledge of Python and SQL.
  • Experience using data engineering systems such as Prefect, dbt, etc.
  • Familiarity with open-source backend frameworks such as Rails, Django, Next.js, etc.
  • Passion for "building things the right way" using best practices (e.g., clean maintainable code; implementing unit tests, continuous integration, Git, detailed documentation, etc.)
  • Ability to effectively prioritize tasks and manage time efficiently.
  • Demonstrates high integrity; diligence, and ability to handle confidential information.
  • Experience with AWS, GCP, Microsoft Azure, or another cloud service.
  • Experience working with large datasets.
  • Familiarity with agile development frameworks.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Rate: $130k - $150k USD.
Benefit Eligibility: This role is eligible to participate in health and welfare benefits.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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