Data Scientist II – Soccer

Teamworks

. Develop statistical and machine learning models helping professional soccer clubs identify undervalued players and recruitment targets .

Posted 9/22/2026full-timeRemote • United States, United KingdomMid-LevelSenior💰 $83,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing statistical and machine learning models, particularly in the context of soccer analytics. Proficient in utilizing player tracking data and cloud infrastructure for model deployment and validation.

Highest-signal resume keywords

R ProgrammingPython ProgrammingSQL ProficiencyMachine Learning Model DevelopmentSports Tracking Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningData AnalysisModel ValidationData Science Fundamentals

Soft Skills

Strong Communication Skills

Tools & Technologies

AWSGoogle CloudAI Coding Tools

Industry Keywords

Soccer AnalyticsPlayer Tracking DataClient-Facing ToolsModel Lifecycle Management

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Develop statistical and machine learning models helping professional soccer clubs identify undervalued players and recruitment targets
Use player tracking data to build spatio-temporal models quantifying player impact and skill
Build metrics, analyses, and client-facing tools supporting soccer team decisions and model interpretation
Validate models and outputs with rigor
Write clear technical reports for clients
Partner with engineering to deploy models on cloud infrastructure and production systems
Review other data scientists' code and contribute ideas to advance the team's work
Own the model lifecycle from design and validation through deployment and improvement

Requirements

What you’ll need

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
Direct soccer data or soccer analytics experience is a plus
Demonstrated track record through published research, blog posts, conference talks, or public projects is a plus
Experience using AWS or Google Cloud to train and deploy models is a plus
Comfort using AI coding tools is a plus
Must have legal right to work in the indicated location without employer sponsorship; role is not eligible for sponsorship

Benefits

Comp & perks

Equity
Bonus
Remote work
Equal opportunity employment
Reasonable accommodations during the hiring process