Swish Analytics is hiring a
Basketball Data Scientist in United States

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Basketball Data Scientist
🏢 Swish Analytics
💵 $100k-$195k
📍United States
📅 Posted on May 27, 2024

Summary

Swish Analytics is hiring a Basketball Data Scientist to join their team and develop machine learning and statistical models for sports betting products. The Data Scientist will ideate, improve, and contribute to all stages of model development, strive to constantly improve model performance, analyze results, adhere to software engineering best practices, and document modeling work.

Requirements

  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area; PhD highly preferred
  • Demonstrated experience developing models at production scale for baseball or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 1 year of demonstrated experience (8+ for higher level) developing and delivering effective machine learning and/or statistical models to serve business needs
  • 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. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Responsibilities

  • Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products
  • 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

Benefits

Base salary: $100,000-195,000 (encompasses multiple levels and depends on experience)

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