Sports Data Modeling Specialist

3 days ago


San Francisco, California, United States AEG Full time
Unlock the Power of Sports Data

A sports analytics startup is seeking an expert in machine learning and statistical modeling to join our team. As a Predictive Analytics Expert, you will be responsible for developing and improving models that drive our core algorithms for producing state-of-the-art sports betting products.

We are looking for someone with a strong background in Probability Theory, Machine Learning, and Inferential Statistics. Experience with relational SQL and Python is also required. Additionally, expertise in Bayesian Statistics, Markov Chain Monte Carlo methods, and source control tools such as GitHub and related CI/CD processes would be highly valued.

The ideal candidate will have a proven track record of developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting. Strong leadership skills and excellent communication skills to both technical and non-technical audiences are essential for this role.

In this position, you will strive to constantly improve model performance using insights from rigorous offline and online experimentation. You will analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. Adhering to software engineering best practices and contributing to shared code repositories is also expected.

This is a remote position based in the USA. The estimated salary range for this position is $107,000-$175,000 per year. We are an Equal Opportunity Employer and welcome candidates from diverse backgrounds.

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