![]() ![]() Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions Proven track record of strong leadership skills.Experience working in AWS environments etc.Experience with source control tools such as GitHub and related CI/CD processes.Experience with relational SQL & Python.2+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs.Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.Experience developing models for production scale with a high preference for NBA, NHL, MLB or college basketball.Master degree in Data Analytics, Data Science, Computer Science or related technical subject area.Document modeling work and present to stakeholders and other technical and non-technical partners.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.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.Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. ![]() We're hiring a Data Scientist to support our Sports Data Models Swish Analytics is looking for a Data Scientist 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. Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. ![]()
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