Current available jobs in Player/Basketball Operations:

Player/Basketball Operations: Statistics
Analytics Systems Developer - Detroit Pistons / Palace Sports & Entertainment (Auburn Hills, MI)


As the Analytics Systems Developer, you will work exclusively for the Pistons’ Basketball Operations department in the development of basketball analytics data and software solutions. This position will report to the Assistant General Manager – Salary Cap & Analytics, and will provide a fast-paced, collaborative environment in which to innovate across all aspects of basketball operations.


  • Working closely with basketball operations to design and create new statistical and reporting services.
  • Maintaining and extending the team’s existing data and analytics infrastructure.
  • Managing and automating the ingestion of disparate data from a wide range of sources.
  • Responding to ad-hoc requests from both the basketball operations department and coaching staff.
  • Collaborating effectively on team projects and work autonomously on individual work as appropriate.
  • Maintaining high level knowledge of current advanced stats and future trends in NBA analytics.


  • A Bachelor’s Degree in Computer Science or related field from an accredited college or university, with a focus on programming.
  • Strong problem solving and analytical skills.
  • Strong SQL programming skills; significant preference given to applicants with at least two years of working experience in related programming/analysis field.
  • Strong programming skills in at least one scripting language (e.g., Python, Perl, Ruby).
  • Working knowledge of at least one compiled language (C# preferred).
  • Experience conducting analysis on large data sets via statistical forecasting and analysis software is desirable (e.g., R, Stata).
  • Data visualization expertise is an advantage, but not required.
  • Ability to work long/flexible hours, including evenings, weekends, and holidays.

Note: This position was originally posted on the Detroit Pistons / Palace Sports & Entertainment employment site. To ensure that your application is considered for this position, please click here to apply for this job on the Detroit Pistons / Palace Sports & Entertainment employment site.

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Player/Basketball Operations: Statistics


The Philadelphia 76ers are looking to add talented new developers, software engineers, statistical analysts, and data scientists to the team. Basketball analysts will work as a part of the front office and collaborate extensively with the entire basketball operations department including President and GM Sam Hinkie. Experience in basketball is not required; analytical talent and learning easily is. The Sixers are looking for both permanent employees and interns. Most basketball analysts will work in our basketball operations office in Philadelphia but other arrangements may be possible.

Responsibilities may include some or all of the following depending on your background and interests:
• Gather, clean and integrate data from a variety of sources
• Maintain and extend our existing analytics infrastructure
• Create both ad-hoc analyses and standardized reports across a variety of platforms
• Forecast the results of basketball plays, players, teams, and seasons
• Innovate across all aspects of basketball operations
• Develop recommendations for the decisions we face across the basketball operations department
• Collaborate effectively on team projects and work autonomously on individual work as appropriate
• Communicate results to the basketball operations staff through presentations, written reports, and tools

Qualified candidates will have demonstrated many of the following characteristics:
• Strong programming skills (e.g. Python, Perl, Ruby, C++, Java,….) to support both the front-end and back-end of applications
• Strong database skills (e.g. SQL, Teradata,….)
• Strong statistical skills and experience with statistical and analysis software (R, SAS, Stata, Matlab, Octave)
• Strong experience with Bayesian analysis
• Strong experience with experimental design, linear regression, logistic regression, non-linear regression, k-means clustering, decision trees, and other advanced techniques
• Visualization expertise
• Machine Learning expertise
• Data Mining expertise
• Big Data expertise including distributed processing
• Mobile application expertise

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