Collaborating with Data Scientists and Engineers, the fully remote Sports Data Analyst will diagnose data pipeline integrity issues, detect inaccuracies in sports data, and support feature development while ensuring data validation and documentation.
Key responsibilities
Work closely with Data Scientists and Engineers to identify and resolve data pipeline integrity issues
Detect and source origins of data inaccuracies, and define validation tests for future errors
Support lead Data Scientists in feature development and model analysis through detailed documentation and data validation
Required qualifications
Bachelor's Degree in Computer Science, Data Science, or a related field
Minimum of 1 year of experience in football data analysis
Deep knowledge of football, basketball, or baseball, including roster compositions and gameplay strategies
Proficiency in Data Extraction, Wrangling, and Analysis using Python
Strong SQL querying skills
Sports Data Analyst
Virtual Vocations Inc · New York, NY, USA ·
- Job type:
- Full Time