Data Scientist

March 15

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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

• Develop and improve machine learning and statistical models for sports betting products • Create contextualized feature sets using sports domain knowledge • Contribute to model development stages from proof-of-concept to deployment • Analyze and improve model performance through experimentation • Adhere to software engineering best practices and contribute to shared code repositories • Document and present modeling work to stakeholders

Requirements

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area • Demonstrated experience developing models at production scale for football or sports betting • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods • 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs • 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

Benefits

• Competitive salary • Fast-paced and creative work environment • Opportunity to work on cutting-edge sports analytics products