Tennis Data Analyst

1 day ago


San Francisco, California, United States Swish Analytics Full time
Job Title: Tennis Data Analyst

About Us
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.

Our Goal
We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

The Role
As a Tennis Data Analyst at Swish Analytics, you will have true ownership and impact over developing core components of Swish's data products. You will ideate, develop, and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.

Your Responsibilities
  • Ideate, develop and improve machine learning and statistical models.
  • 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.

Requirements
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area.
  • Minimum of 1 year of demonstrated experience developing models at production scale for tennis or sportsbook at scale.
  • Minimum of 3 years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting.
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.
  • 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.
  • Excellent communication skills to both technical and non-technical audiences.

Compensation
The estimated salary range for this position is $110,000 - $175,000 based on industry standards and national averages.

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