NFL Data Scientist at Swish Analytics | San Francisco, United States | Rezi

NFL Data Scientist at Swish Analytics

NFL Data Scientist

Swish Analytics · San Francisco, United States

2 weeks ago

NFL Data Scientist

Swish Analytics · San Francisco, United States

15 days ago
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About the Role

Swish Analytics is seeking an NFL Data Scientist to develop and enhance machine learning and statistical models that power the company's sports betting products. This role offers significant ownership and impact on core data product components.

Responsibilities

  • Ideate, develop, and improve machine learning and statistical models for sports betting products.
  • Develop contextualized feature sets using sports domain knowledge.
  • Contribute to all stages of model development, including proof-of-concepts, beta testing, and deployment.
  • Partner with data engineering and product teams for model deployment.
  • Continuously improve model performance through experimentation.
  • Analyze results to assess model performance and identify weaknesses.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present findings to stakeholders.

Requirements

  • Masters degree in Data Analytics, Data Science, Computer Science, or a related technical field.
  • 2+ years of experience developing models at production scale for NFL, CFB, or sports betting.
  • 5+ years of experience developing and delivering machine learning and/or statistical models for sports or sports betting business needs.
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
  • Experience with relational SQL and Python.
  • Experience with source control tools like GitHub and CI/CD processes.
  • Experience working in AWS environments.
  • Proven track record of strong leadership skills and ability to partner with teams to solve complex problems.
  • Excellent communication skills for both technical and non-technical audiences.

Skills

  • Probability Theory
  • Machine Learning
  • Inferential Statistics
  • Bayesian Statistics
  • Markov Chain Monte Carlo methods
  • SQL
  • Python
  • GitHub
  • CI/CD
  • AWS

Location

  • Remote (USA)

Work Type

  • Remote
  • Full-time

Experience Level

  • 2+ years of production model development experience
  • 5+ years of machine learning/statistical model development experience

Education Level

  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

Salary/Compensations

  • Starting at $140,000

About the Company

  • Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products.
  • We believe oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise.
  • We seek team-oriented individuals passionate about accurate, predictive real-time data.
  • We operate in a fast-paced, creative, and continually-evolving environment.
  • We build systems to support products across various industries and client types.

Equal Opportunity

  • Swish Analytics is an Equal Opportunity Employer.
  • All qualified candidates 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.