Current available jobs in Player/Basketball Operations:





Player/Basketball Operations: Statistics
Basketball Operations Quantitative Analyst / Systems Developer - Charlotte Hornets (Charlotte, NC)

Position overview

The Charlotte Hornets are looking to hire Analysts and/or Software Developers to build and improve on existing technological solutions for the front office and coaching staff. The primary focus will be on creating mobile and web-based software solutions for use in player evaluation, salary cap analysis, and game strategy. As a part of the Basketball Operations Department, developers will work with the Analytics team in support of the General Manager, coaching staff, and scouting department. Experience in the sports industry is not required, but applicants must be passionate about basketball.
 

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Develop tools that streamline the decision-making process for the front office and coaching staff
  • Advanced statistical modelling and analysis
  • Improve existing technological solutions and practices
  • Manipulate and analyze large data sets
  • Assist in database maintenance and data cleansing
  • Support basketball operations in day-to-day tasks

REQUIRED SKILLS, EXPERIENCE, AND ABILITIES

(To perform the job successfully, the candidate should demonstrate the following competencies to perform the essential functions of this job.)

  • Strong programming background
  • Database proficiency (SQL)
  • Experience working with large datasets
  • Familiarity with advanced statistical techniques
  • Significant experience with statistical software packages
  • Data visualization experience is a plus
  • Experience with algorithmic efficiency is a plus

 Education

  • Bachelor’s degree (advanced degree is a plus) in a technical field from an accredited college or university

Note: This position was originally posted on the Charlotte Hornets employment site. To ensure that your application is considered for this position, please click here to apply for this job on the Charlotte Hornets employment site.

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Player/Basketball Operations: Statistics
Basketball Operations Quantitative Analyst / Systems Developer - Charlotte Hornets (Charlotte, NC)

Position overview

The Charlotte Hornets are looking to hire Analysts and/or Software Developers to build and improve on existing technological solutions for the front office and coaching staff. The primary focus will be on creating mobile and web-based software solutions for use in player evaluation, salary cap analysis, and game strategy. As a part of the Basketball Operations Department, developers will work with the Analytics team in support of the General Manager, coaching staff, and scouting department. Experience in the sports industry is not required, but applicants must be passionate about basketball.
 

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Develop tools that streamline the decision-making process for the front office and coaching staff
  • Advanced statistical modelling and analysis
  • Improve existing technological solutions and practices
  • Manipulate and analyze large data sets
  • Assist in database maintenance and data cleansing
  • Support basketball operations in day-to-day tasks

REQUIRED SKILLS, EXPERIENCE, AND ABILITIES

(To perform the job successfully, the candidate should demonstrate the following competencies to perform the essential functions of this job.)

  • Strong programming background
  • Database proficiency (SQL)
  • Experience working with large datasets
  • Familiarity with advanced statistical techniques
  • Significant experience with statistical software packages
  • Data visualization experience is a plus
  • Experience with algorithmic efficiency is a plus

 Education

  • Bachelor’s degree (advanced degree is a plus) in a technical field from an accredited college or university

Note: This position was originally posted on the Charlotte Hornets employment site. To ensure that your application is considered for this position, please click here to apply for this job on the Charlotte Hornets employment site.

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Player/Basketball Operations: Statistics
BASKETBALL ANALYST - PHILADELPHIA 76ERS (PHILADELPHIA, PA)

BASKETBALL ANALYST

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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