Tennis Data Scientist Expert
3 weeks ago
About Swish Analytics
We're a sports analytics and betting startup building predictive data products. Our team is passionate about delivering accurate real-time data in fast-paced environments.
Job Overview
We're seeking an experienced Tennis Data Scientist to join our growing data science team. As a core component of our business, this role has true ownership and impact over developing core components of Swish's data products.
Key Responsibilities
- Ideate, develop, and improve machine learning models driving state-of-the-art sports betting products.
- Develop contextualized feature sets using sports-specific domain knowledge.
- Contribute to all stages of model development, from proof-of-concepts to deployment with data engineering and product teams.
- Analyze results and outputs to assess model performance and identify weaknesses for directing development efforts.
- Document modeling work and present to stakeholders and other technical partners.
Requirements
- Masters degree in Data Analytics, Data Science, Computer Science or related field.
- Minimum 1 year experience developing production-scale models for tennis or sportsbook at scale.
- Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.
- Experience with relational SQL & Python, source control tools like GitHub, and CI/CD processes.
- Proven leadership skills and ability to partner with teams in solving complex problems.
Compensation
The estimated salary for this position is $145,000 per year, based on industry standards and market conditions.
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