Madison Square Garden Sports Corp. (MSG Sports) is looking to expand the capability and impact of their performance science team by hiring a Data/Full Stack Engineer with expertise in biomechanics-focused data to support player performance.
Requirements
- Proficiency in Python, R, SQL and relevant data engineering tools.
- Familiarity with Python based application building (using Python Dash).
- Familiarity and experience in one or more of JavaScript (React, Angular, or Vue.js framework), CSS, and HTML
- Familiarity with AWS Redshift and Cloud based architecture
- Expertise developing SQL based ETL/ELT applications
- Experience building API integrations using FastAPI, Flask or other similar framework
- Proficiency using version control systems such as Git or Bitbucket for collaborative software development or code management
Responsibilities
- 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
- Engineer front-end systems for practitioners to interface with performance science reporting and insight
Other
- Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics or a related field (or relevant work experience)
- 3+ year’s experience as a Data or Full Stack Engineer (or similar field) with specific expertise in processing biomechanical data
- Passion for basketball and desire to leverage data in optimizing player performance
- Understanding of human kinematics applied to a high-performance setting
- Travel requirements not specified
