Sports Data Scientist

5 days ago


San Francisco, California, United States Houston Texans Full time
Unlock the Power of Sports Analytics

We are seeking a highly skilled Sports Data Scientist to join our team at Swish Analytics. As a key member of our Research & Experimentation branch, you will play a crucial role in creating enhancements for future generation products, scaling internal tools, and setting the stage for making big bets on new products and features.

About the Role

This is a fantastic opportunity to work with thought leaders in the sports data space and leverage your expertise to drive innovation. You will be responsible for expanding utilization and adoption of existing models, accelerating adoption of commonly used proprietary frameworks, and establishing and refining KPIs and OKRs for scaling and accelerating product offerings.

  • Data Processing Techniques: Apply large scale data processing techniques to develop scalable and innovative sports betting products.
  • Code Improvement: Proactively improve our Rust codebase and identify sources of data inaccuracies through data pipeline dependencies and Python code base.
  • Component Development: Build, test, debug, and deploy production-grade components using extensive experience.
  • Statistical Knowledge: Keep up to date with new approaches to inferential statistics, sampling, and experimental design.
  • Integration and Scaling: Examine the integration and scaling of real-world operations, simulations, experiments, and demonstrations.
Requirements

To succeed in this role, you will need:

  • Education: Bachelor's degree in Computer Science, Applied Math, Data Analytics, Data Science, or related technical subject area (Master's degree highly preferred).
  • Experience: 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical products to serve business needs.
  • Skills: Advanced knowledge of Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods, Python, SQL, source control tools like GitHub, and CI/CD processes.
  • Leadership Skills: Proven track record of strong leadership skills, ability to partner with teams to solve complex problems, and excellent communication skills to both technical and non-technical audiences.

We offer a competitive salary range of $133,000-$180,000, commensurate with experience. If you are passionate about sports analytics and want to make a meaningful impact, we encourage you to apply.



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