Sports Data Analyst

This is a fully remote position, open to applicants in California.

📋 Description

• Collaborate effectively with Data Scientists and Engineers to identify and resolve data pipeline integrity issues.

• Identify data discrepancies such as missing, out-of-range, or otherwise incorrect on-field data.

• Trace the origins of data inaccuracies through dependencies in the data pipeline and the Python codebase.

• Establish data validation tests to flag potential future errors in the game.

• Investigate accurate roster active statuses, primary positions, and game participation.

• Confirm data modifications following updates to logic.

• Conduct in-depth analyses of production model features to elucidate project market lines.

• Document findings clearly and comprehensively.

• Gain a thorough understanding of current databases and develop metadata references.

• Assist lead Data Scientists in feature development and model analysis with guidance.

⛳️ Requirements

• Bachelor's Degree in Computer Science, Data Science, or a related field.

• A minimum of 1 year of experience in football data analysis.

• Extensive knowledge of football, basketball, or baseball, including roster compositions of professional and college teams, general gameplay strategies, and common in-game scenarios.

• Proficiency in Data Extraction, Wrangling, and Analysis using Python.

• Strong skills in SQL querying.

• Keen attention to detail.

🏝️ Benefits

• Health insurance.

• Remote work options.