Basketball Data Scientist San Francisco, CA - Remote

Company: Swish Analytics
Location: San Francisco
Posted on: November 6, 2024

Job Description:

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. 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.Job DescriptionSwish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models.Duties:

• 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.
• 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; 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 4+ years 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.
  • 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.Base salary: $100,000-190,000 (encompasses multiple levels and depends on experience).Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law.
    #J-18808-Ljbffr

Keywords: Swish Analytics, Mountain View , Basketball Data Scientist San Francisco, CA - Remote, Other , San Francisco, California