Tennis Data Scientist - Remote

Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.

In Short

• Hiring a Tennis Data Scientist to join the team.
• Focus on developing core components of data products.
• Ideate and improve machine learning and statistical models.
• Develop feature sets using sports domain knowledge.
• Contribute to all stages of model development.
• Analyze model performance and identify weaknesses.
• Adhere to software engineering best practices.
• Document work and present to stakeholders.

Requirements

• Bachelor's in Data Analytics, Data Science, or related field; Master's preferred.
• Experience developing models for tennis or sports betting.
• Expertise in Probability Theory and Machine Learning.
• 4+ years of experience in machine learning/statistical models.
• Experience with SQL and Python.
• Familiarity with GitHub and CI/CD processes.
• Experience in AWS environments.
• Strong leadership and problem-solving skills.
• Excellent communication skills.

Benefits

• Equal Opportunity Employer.
• Consideration for all candidates meeting qualifications.