Tennis Data Scientist Leader

3 weeks ago


San Francisco, California, United States AEG Full time
Unlock the Power of Tennis Data
Swish Analytics is a pioneering sports analytics startup, and we're seeking a seasoned Tennis Data Scientist Leader to join our team. With a passion for delivering high-performing models, you'll drive innovation in tennis data products.

In this role, you'll ideate, develop, and improve machine learning and statistical models that power Swish's core algorithms. Your expertise will be crucial in developing contextualized feature sets using sports-specific domain knowledge. You'll contribute to all stages of model development, from proof-of-concepts to deployment, ensuring seamless collaboration with data engineering and product teams.

We're looking for someone with a strong background in probability theory, machine learning, inferential statistics, Bayesian statistics, and Markov Chain Monte Carlo methods. Your experience with relational SQL & Python, source control tools like GitHub, and AWS environments is essential. As a leader, you'll partner with teams to solve complex problems and identify innovative solutions.

The estimated salary for this position is $120,000-$180,000 per year. We offer an equal opportunity employer environment where all candidates are considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, or any other protected characteristic.

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