Note: The job is a remote job and is open to candidates in USA. Swish Analytics is a sports analytics startup focused on predictive sports analytics data products. They are seeking a Sports Data Analyst to work with data scientists and engineers on data pipeline integrity, detect inaccuracies, and validate data changes.
Responsibilities
- Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
- Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
- Source origins of data inaccuracies through data pipeline dependencies and python code base
- Define data validation tests to flag future game errors
- Research accurate roster active statuses, primary positions and game participation
- Validate data changes after logic updates
- Production model feature deep dives to explain project market lines
- Clearly document findings
- Develop intimate familiarity with existing databases and construct metadata references
- With guidance, support lead Data Scientists in feature development and model analysis
Skills
- Bachelor's Degree in Computer Science, Data Science or similar major
- Minimum of 1 year of experience in football data analysis
- Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
- Data Extraction, Wrangling and Analysis in Python
- Strong SQL querying skills
- Attention to detail
- Strong Python data management programming skills
- Data Visualization experience with a user application like Streamlit
- Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
- Exposure to the data science process and tech stack
- Anomaly Detection Techniques
Company Overview
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