Data Scientist II (Soccer)

The role

This person will develop statistical and machine learning models using player tracking and event data. The work supports player recruitment decisions for professional soccer clubs.

What you will do

• Develop statistical and machine learning models for player recruitment
• Take ownership across the model lifecycle from design and validation to deployment and improvement
• Build models using player tracking and event data
• Write maintainable, tested, and reproducible analytical code
• Use version control and code review for collaborative development
• Join, transform, and validate large, structured datasets using SQL
• Take models from exploratory notebooks into repeatable workflows or production systems
• Collaborate with engineering and investigate issues as models are used
• Explain modeling decisions, limitations, and results to technical teammates and professional soccer clubs

Required qualifications

• 3+ years of professional or research experience writing code in R or Python for data science, statistics, or machine learning work
• Comfort with SQL for building and querying structured data
• Strong data science fundamentals
• Experience working with sports tracking data
• Strong communication skills

Nice to have

• Direct experience with soccer data or soccer analytics
• Demonstrated track record of tackling hard problems through published research, blog posts, conference talks, or public projects
• Experience using a cloud compute provider (e.g. AWS or Google Cloud) to train and deploy models
• Comfort using AI coding tools

About the company

Teamworks is the Operating System for Sports™, powering 7,000+ organizations worldwide. Founded in 2006, it is a sports tech platform with 600+ global teammates.