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#Swish analytics software
Adhere to software engineering best practices and contribute to shared code repositories.Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
#Swish analytics Offline
Strive to constantly improve model performance using insights from rigorous offline and online experimentation.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.Develop contextualized feature sets using sports specific domain knowledge.
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Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.Swish Analytics is looking for Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. 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. 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. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise not intuition. His group is primarily focused on the personnel and roster management sides of those front offices.Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. Sandy's role is to facilitate and grow analytics across all the Kroenke-owned sports properties, working with the Los Angeles Rams, Denver Nuggets, Colorado Avalanche, and Colorado Rapids. An expert in analyzing data and designing data warehouses, Sandy is the Director of Sports Analytics at Kroenke Sports & Entertainment. He and his research partner, John Huizinga, were the first to present original research at SSAC, giving talks about the Hot Hand (2009), the Value of a Blocked Shot (2010), and, in 2011, were the first to present research using STATS LLC's SportVU data.
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From 2006 - 2012, he worked as a consultant in the growing sports analytics field, primarily in basketball. Prior to joining KSE, Sandy was the Director of Football Analytics for the Baltimore Ravens, where he and his team built a football analytics and information delivery platform that rivals any in the NFL. His group is primarily focused on the personnel and roster management sides of those front offices.