Performance Data Scientist

Vancouver Whitecaps FC

Application Deadline Ended

Apply by Ended 6/1/2023
Performance Data Scientist | Vancouver Whitecaps FC

Performance Data Scientist

Vancouver Whitecaps FC

Apply by Ended 6/1/2023

Posted 1 month ago

No Longer Accepting Applications



Vancouver, BC, Canada

Job Type

 Job Description

The Performance Data Scientist is responsible for facilitating performance-related data collection, management, analysis, and communication across the club, in accordance with the WFC Performance Strategy. This exciting role contributes to both the daily training environment and longer-term research & innovation projects, and touches on many performance domains, including first team football, scouting and recruitment, and player development.

Role Responsibilities:

  • Assist with implementing data pipeline workflows for raw and summary data from optical
    tracking, football event data, wearable technology, and other available data sources
  • Assist with developing and implementing football performance analysis/models that can inform decisions about scouting/recruitment, match analysis/review, player development, and opposition scouting
  • Implement quality control and data best practices at all steps of the data pipeline for performance related data – data collection, data analysis, and data communication
  • Work collaboratively with physical preparation and medical staff to collect appropriate data sets when required, including force plates, global positioning systems, and strength testing
  • Work alongside coaches, staff, and players, in alignment with the WFC Performance Strategy
  • Assist with analyses for internal and publishable research and innovation projects, as needed
  • Support performance processes as needed 

Qualifications RequiredQualifications Required

  • Undergraduate qualifications in one of the following areas: data science, applied sport science, information technology, epidemiology (with advanced data analysis), or biostatistics
  • At least 2 years of experience in data science and/or applied sports science working in a high-performance sport or business environment (e.g. collegiate, national, or professional sport)
  • Ability to work with various data sources, platforms, and data science software. Coding proficiency with SQL, Python, and/or R
  • Proficiency in data visualization and interactive dashboard creation through R, Python, Microsoft Power BI, and/or Tableau
  • Understanding of data engineering and data pipeline construction, database management, data modeling, and data visualization/reporting
  • Proficiency with querying REST APIs and working with several data formats (e.g. .json, .parquet, xml)
  • Proficient communication skills and ability to work across multiple teams within the organization
  • Passionate about sport and human performance
  • Demonstrated capacity to provide timely and relevant data processing
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