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Job Description
Swish Analytics is seeking a highly motivated and experienced Soccer Data Scientist to join their growing team. The ideal candidate will be passionate about sports analytics and have a proven track record of developing and deploying machine learning models at scale.He/She will be responsible for developing and improving machine learning and statistical models, developing contextualized feature sets, and working with data engineering and product teams to deploy new models.The Data Scientist will analyze results, identify model weaknesses, and adhere to software engineering best practices. They will also document modeling work and present to stakeholders.Responsibilities:- Ideate, develop and improve machine learning and statistical models.
- Develop contextualized feature sets.
- Contribute to all stages of model development.
- Improve model performance through experimentation.
- Analyze results and outputs to assess model performance.
- Adhere to software engineering best practices.
- Document modeling work and present to stakeholders.
- Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area.
- Demonstrated experience developing models at production scale for soccer or sports betting.
- Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.
- Minimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting.
- Experience with relational SQL & Python.
- Experience with source control tools such as GitHub and related CI/CD processes.
- Experience working in AWS environments etc.
- Proven track record of strong leadership skills.
- Excellent communication skills to both technical and non-technical audiences.
- Opportunity to work on cutting-edge sports analytics data products.
- A fast-paced, creative, and continually-evolving environment.
