Full-Time
Tennis Data Scientist
Confirmed live in the last 24 hours
Machine learning for US sports betting analytics
Senior
Remote in USA
- Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area; PhD highly preferred
- Demonstrated experience developing models at production scale for tennis or sportsbook at scale
- 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
- 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
- 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
Swish Analytics is at the forefront of sports betting analytics, specializing in machine learning systems that enhance betting strategies and outcomes in major US sports. The company leverages advanced algorithm-driven predictions and proprietary trading software to refine risk management and odds calculation in NBA, NFL, MLB, and NHL betting. This focus on cutting-edge technology and industry-specific expertise makes it an attractive environment for professionals passionate about sports data and analytics, offering a dynamic and forward-thinking workplace culture.
Company Stage
Series C
Total Funding
$29.8M
Headquarters
San Francisco, California
Founded
2014