Basketball Modeling Operations Engineer (FT)

What You’ll Do: 

• A problem solver with a passion for basketball and strong technical skills.
• Leverage analytical skills and knowledge of advanced basketball statistics to interpret basketball needs and translate them into data processes.
• Strong knowledge of Python, R, and SQL (required).
• Perform ad hoc data mining on large volumes of basketball-related data as requests arise, via SQL, Excel, or other statistical tools, independently and under the direction of senior analytics staff.
• Contribute to the management and administration of a Microsoft SQL database server including periodic maintenance tasks, and ad hoc batch data entry/extracts on large volumes of basketball-related data as requests arise.
• Proficient in containerization technologies, especially Docker.
• Familiarity with cloud platforms, particularly Microsoft Azure
• Support, develop, and maintain Data Science pipelines (in either R or Python) as requests arise.
• Solid understanding of statistics and machine learning
• Other related duties as assigned.

Who You Are:  

• Working knowledge of SQL, Python, and R are REQUIRED
• Strong analytical skills, including an understanding of how to interpret basketball needs and translate them into statistical analyses.
• Strong project management skills, including the ability to work independently and coordinate multiple tasks.
• Strong organizational skills, with a robust attention to detail, both to checking and working with data, as well as visual presentation of deliverables and reports.
• Strong interpersonal skills with the ability to work with and communicate with people from all departments and at all levels of the organization.
• Ability to handle high pressure situations while still being attentive to the detail and excellent work product required.
• Knowledge of some advanced basketball statistics, and knowledge of common basketball analytical resources, both public and proprietary.
• Familiarity with basic statistical analysis techniques (eg, regression/modeling, hypothesis testing, categorical data analysis, LLMs)
• Experience with javacript libraries like D3 and react is a plus.
• Experience with JAVA and Apache Spark are a plus.
• Must have high level of interpersonal skills to handle sensitive/confidential situations and information.
• An advanced degree in computer science, statistics, data science, economics, or mathematics is a plus.
• A working knowledge of the NBA, and the NBA rules & regulations, is required.
• Stand/Sit/Walk for long periods of time.
• Ability to lift/push/pull 50 lbs.

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