Sports Data Analyst
About The Position
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Requirements
- 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
Nice To Haves
- 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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
