Performance Science Data Engineer
Madison Square Garden Sports Corp. (MSG Sports) is a leading professional sports company, with a collection of assets that includes the New York Knicks (NBA) and the New York Rangers (NHL), as well as two development league teams – the Westchester Knicks (NBAGL) and the Hartford Wolf Pack (AHL). MSG Sports also operates a professional sports team performance center – the MSG Training Center in Greenburgh, NY. More information is available at www.msgsports.com.
Who are we hiring?
The New York Knicks are looking to expand the capability and impact of their performance science team and are looking for a Data Engineer with expertise in biomechanics-focused data. This individual will design, develop, and maintain data infrastructure and pipelines that support our biomechanics research, general performance science research, and product development. The ideal candidate will have a strong background in data engineering, experience working with biomechanical data, and a passion for developing data-driven solutions to support player performance.
What will you do?
- Develop the integration of new performance science data sources into our database infrastructure.
- Design and implement pipelines with a focus on collecting, processing, relating, and optimizing large volumes of raw kinematic data for analysis.
- Develop algorithms and data processing techniques to derive useful metrics for insight from marker-less motion capture data, enhancing our understanding of player biomechanics, injury prevention, and performance optimization.
- Monitor and troubleshoot data pipeline performance, ensuring optimal data flow and processing.
- Design principles and workflows for data quality management including systems for outlier and anomaly detection
- Conduct database audits to ensure long-term viability of infrastructure and identify dataset strengths and weaknesses
- Collaborate with data scientists on feature engineering to support long-term quantitative research
What do you need to succeed?
- Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics or a related field (or relevant work experience)
- 2+ year’s experience as a Data Engineer (or similar field) with specific expertise in processing biomechanical data
- Proficiency in programming languages such as Python, R, SQL and relevant data engineering tools.
- Expertise developing SQL based ETL/ELT applications
- Experience building API integrations
- Familiarity with Tableau or similar visualization platforms
- Proficiency using version control systems such as Git or Bitbucket for collaborative software development or code management
- Understanding of human kinematics applied to a high-performance setting
- Passion for basketball and desire to leverage data in optimizing player performance
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