Remote Soccer Data Scientist - ML & Betting

Swish Analytics Inc.; San Francisco (CA); On-site; USD 117,000 - 143,000; Full time

Job summary

Swish Analytics is seeking a Soccer Data Scientist to own model development for predictive sports analytics products. This role offers impact across core algorithms, feature engineering, and deployment with data engineering and product teams.

The candidate will drive improvements through rigorous offline/online experiments, and must communicate findings to both technical and non-technical audiences. Remote from the USA is supported.

Qualifications

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area.
• Experience developing models at production scale for Soccer or sports betting for 2+ years.
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, MCMC methods.
• 5+ years delivering ML/statistical models for sports or sports betting.
• Experience with relational SQL & Python.
• Experience with GitHub and CI/CD processes.
• Experience working in AWS environments.
• Strong leadership and cross-team collaboration skills.
• Excellent communication to technical and non-technical audiences.

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 from PoCs to deployment with data engineering/product teams.
• Strive to improve model performance using offline and online experiments.
• Analyze results to assess performance and identify weaknesses for further development.
• Adhere to software engineering best practices and contribute to shared code repositories.
• Document modeling work and present to stakeholders and teams.

Skills

Probability Theory

Machine Learning

Inferential Statistics

Bayesian Statistics

Markov Chain Monte Carlo

Leadership

Communication

Education

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

Tools

SQL

Python

GitHub

CI/CD

AWS

Job description

Swish Analytics is seeking a Soccer Data Scientist to own model development for predictive sports analytics products. This role offers impact across core algorithms, feature engineering, and deployment with data engineering and product teams.

The candidate will drive improvements through rigorous offline/online experiments, and must communicate findings to both technical and non-technical audiences. Remote from the USA is supported.