Data Scientist II (Soccer)

Summary

Teamworks is a sports technology company that builds solutions for sports organizations worldwide. They are hiring a Data Scientist II to develop statistical and machine learning models for soccer recruitment, using player tracking and event data to identify undervalued players, support client-facing analysis, and help deploy reliable production models.

Responsibilities

• Develop statistical and machine learning models that help professional soccer clubs identify undervalued players and strong recruitment targets
• Use player tracking data to build spatio-temporal models that quantify player impact and skill
• Build metrics and analyses that soccer teams rely on to make decisions, and support client-facing work by building tools to support model interpretation and understanding
• Validate models and outputs — your own and others’ — with enough rigor that the team can trust what ships
• Write clear reports that communicate technical work to clients
• Partner with our engineering team to deploy models on cloud infrastructure and turn strong analytical work into reliable production systems
• Review code from other data scientists, share constructive feedback, and contribute ideas that advance the team's work

Skills

• • 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: you understand how models work, what they need from the data, and how to set data up to support them
• • Experience working with sports tracking data, including understanding the kinds of models typically built and the data challenges that come with them
• • Strong communication skills — you'll be explaining modeling decisions directly to partner clubs, not just internal teammates
• •This role is not eligible for sponsorship at this time.•
• • You have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)
• • You have a 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, paired with the judgment to recognize when their output needs to be questioned or corrected

Qualifications

Must Haves

• • 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: you understand how models work, what they need from the data, and how to set data up to support them
• • Experience working with sports tracking data, including understanding the kinds of models typically built and the data challenges that come with them
• • Strong communication skills — you'll be explaining modeling decisions directly to partner clubs, not just internal teammates
• •This role is not eligible for sponsorship at this time.•

Nice to Haves

• • You have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)
• • You have a 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, paired with the judgment to recognize when their output needs to be questioned or corrected

Benefits

• Offers Equity
• Offers Bonus
• Remote work