Soccer Data Scientist

Swish Analytics

$130K *
US-AnywhereRemote in San Francisco, CA
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Masters degree in Data Analytics, Data Science, Computer Science, or similar technical area
  • 2+ years of experience developing soccer models or in sports betting
  • Expertise in machine learning, probability theory, and Bayesian statistics
  • 5+ years of experience delivering machine learning models for sports or betting
  • Proficient in SQL and Python
  • Experience with GitHub and CI/CD workflows
  • Familiarity with AWS environments
  • Strong leadership and collaborative problem-solving skills
  • Effective communication with technical and non-technical audiences

Responsibilities

  • Ideate and enhance machine learning and statistical models for sports betting
  • Develop feature sets rooted in soccer-specific knowledge
  • Collaborate across teams during all stages of model development
  • Continuously improve model performance through experimentation
  • Analyze model outputs to identify weaknesses
  • Follow software engineering best practices and engage in shared code repositories
  • Document and present modeling work to a variety of stakeholders

Benefits

  • Remote working opportunity from anywhere in the USA
  • Ownership and impact on core data products
  • Access to a collaborative team environment
  • Opportunity to contribute to innovative sports betting solutions
  • Support in professional growth and development
Full Job Description
In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.

Job Description

Swish Analytics is looking for a Soccer 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 Soccer, 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 $130,000

Similar Jobs

More Jobs at Swish Analytics

More Business Services Jobs

Find similar Soccer Data Scientist jobs: