NFL Data Scientist

Swish Analytics

$140K — $160K *
US-AnywhereRemote in San Francisco, CA
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Data Analytics, Data Science, Computer Science, or related field
  • 2+ years of experience delivering models for NFL, CFB, or sports betting
  • Expertise in Probability Theory, Machine Learning, and Bayesian Statistics
  • 5+ years of experience with machine learning/statistical models in sports
  • Proficient in SQL and Python, with knowledge of GitHub and CI/CD processes
  • Experience in AWS environments
  • Strong leadership skills with a track record of innovative problem solving
  • Excellent communication skills for diverse audiences

Responsibilities

  • Ideate and develop machine learning models for sports betting products
  • Create feature sets utilizing sports-specific knowledge
  • Contribute to all stages of model development and deployment
  • Continuously improve model performance through experimentation
  • Analyze model results to identify weaknesses and improve designs
  • Follow software engineering best practices in code contributions
  • Document and present modeling work to various stakeholders

Benefits

  • Fully remote work arrangement
  • Opportunities for continuous learning and professional development
  • Collaborative and innovative team environment
  • Ownership of impactful projects within the company
  • Access to state-of-the-art sports data analytics tools
Full Job Description
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

Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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