Tennis Data Scientist

August 31

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Swish Analytics

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Intelligent U.S. Sports Betting Solutions

Sports Analytics • sports betting • gambling

11 - 50

💰 $6.9M Series B on 2019-05

Description

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. • Develop contextualized feature sets using sports specific domain knowledge. • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. • Strive to constantly improve model performance using insights from rigorous offline and online experimentation. • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. • Adhere to software engineering best practices and contribute to shared code repositories. • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area • Minimum of 1 year of demonstrated experience developing models at production scale for tennis or sportsbook at scale • Minimum of 3 years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods • 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. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions • Excellent communication skills to both technical and non-technical audiences