NFL Data Scientist

AEG Presents

$140K *
US-AnywhereRemote in San Francisco, CA
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Masters degree in Data Analytics, Data Science, Computer Science or related field
  • 2+ years of production-scale model development experience in NFL or sports betting
  • Proficient in Probability Theory, Machine Learning, and Inferential/Bayesian Statistics
  • 5+ years of experience delivering machine learning/statistical models in sports
  • Skilled in SQL and Python programming languages
  • Familiarity with GitHub and CI/CD processes
  • Experience working in AWS environments
  • Strong leadership and problem-solving abilities
  • Excellent communication skills for diverse audiences

Responsibilities

  • Ideate and develop machine learning and statistical models for sports betting products
  • Create contextualized feature sets with sports-specific knowledge
  • Contribute to all stages of model development and deployment
  • Improve model performance through rigorous experimentation
  • Analyze and assess model performance to identify weaknesses
  • Adhere to software engineering best practices
  • Document modeling work and present findings to stakeholders

Benefits

  • Remote work option from the USA
  • Ownership and impact in developing core components of data products
  • Opportunity to work in a rapidly growing team
  • Engagement with both technical and non-technical partners
  • Contribution to state-of-the-art sports betting algorithms
Full Job Description
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Job Description

Swish Analytics is looking for an NFL 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. This position is remote from the USA.

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
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • 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

Base salary: Starting at $140,000

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