Tennis Data Scientist

🕒 Março 20

🏄 California – Remoto

🏄 California – Remote

💵 $135.000 - $190.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

📊 Cientista de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Swish Analytics

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2014

🎲 Jogos de Azar

🤖 Inteligência Artificial

🤝 B2B

💰 $6.909.110 Series B - Swish Analytics em 2019-05

Gambling • Artificial Intelligence • B2B

A Swish Analytics é uma empresa de dados preditivos e probabilidades esportivas orientada por machine learning que desenvolve um mecanismo em tempo real de criação de probabilidades para casas de apostas e plataformas de fantasia. A empresa oferece precificação de props de jogadores com alta precisão, mercados de partidas e equipes, projeções em tempo real e pré-jogo, e gestão automatizada do ciclo de vida de apostas para alimentar o processo de bookmaking, construtores de apostas, parlays e micro-mercados. A Swish se posiciona como um fornecedor B2B focado em automação, precisão e infraestrutura escalável de probabilidades para a indústria de apostas esportivas.

Descrição

• 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.

🎯 Requisitos

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area • Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ years • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods • 5+ 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 • 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.