Brooklyn Sports & Entertainment
Data Scientist (Brooklyn Nets - Basketball Operations)
Brooklyn, NY 11232
Sponsorship not specified$150k-$170kDetected 23 days ago
JavaScriptPythonGitAWSGCPAzureMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData ScienceData VisualizationComputer VisionMLOpsStatisticsAccessibilityResearchLeadershipProblem SolvingMentoring
About the role
- SUMMARY The 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 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.
- Flexibility and availability during critical basketball periods are essential to success in this role.
Responsibilities
- Enhance and improve existing player evaluation models while developing new predictive metrics that support basketball decision-making across the Basketball Operations department.
- Build intuitive and visually compelling dashboards and data visualizations that improve the accessibility and adoption of analytics products throughout Basketball Operations.
- Partner with Basketball Operations leadership, coaching staff, scouting, and front office personnel to identify analytical opportunities and translate business questions into scalable analytical solutions.
- Collaborate with members of the Basketball Analytics team to design and implement basketball software tools and research initiatives.
- Critically evaluate existing metrics and analytical methodologies while identifying opportunities to improve current models or create entirely new approaches.
- Document analytical methodologies, model assumptions, and technical processes to support knowledge sharing and long-term maintainability.
Requirements
- Bachelor's degree or higher in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative discipline, or equivalent practical experience.
Nice to have
- Experience with Snowflake.
- Experience with JavaScript visualization libraries including D3.js, Victory, Recharts, or Nivo.
- Experience working with player tracking technologies such as Hawk-Eye or similar spatial tracking systems.
- Strong understanding of modern basketball analytics methodologies and advanced metrics.
- Experience working with cloud-based analytics platforms such as AWS, Azure, or Google Cloud Platform.
- Passionate about using data to improve basketball decision-making.
- Curious, innovative, and eager to challenge conventional thinking.
- Collaborative and comfortable working across multiple Basketball Operations functions.
Compensation
- Salary Range: $150,000-$170,000 + Benefits
- This position is based primarily in the Brooklyn Nets Training Center located in Industry City, Brooklyn.
- 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.
- This role may require regular travel in support of the Brooklyn Nets Basketball Operations department.
Benefits
- Design, develop, deploy, and maintain machine learning models that generate actionable insights for roster construction, player evaluation, scouting, player development, and game strategy.
- Stay current with emerging developments in machine learning, artificial intelligence, basketball analytics, and sports technology to bring innovative ideas to the organization.
- 3-7 years of professional experience in data science, machine learning, predictive modeling, or a related analytical field.
- Demonstrated experience developing, testing, and deploying complex machine learning models.
Company info
- We are an Equal Employment Opportunity ("EEO") Employer.
Visa & Work Authorization
- artnership 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,
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