Data Scientist: Soccer Growth & Fan Insights

USWNT & USMNT; Atlanta (GA); On-site; USD 110,000 - 150,000; Full time

Job summary

U.S. Soccer Federation is seeking a Data Scientist to transform data into actionable insights and measurable business outcomes.

You will work with stakeholders from Commercial, Marketing, Ticketing, Membership, E-commerce, and Product to build AI-powered tools and analytical frameworks that improve performance and accelerate growth. The ideal candidate combines strong technical capabilities with business judgment and communication skills, comfortable with large datasets, and able to explain

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 3+ years in data science or related role.
• Strong SQL skills with large datasets.
• Experience with cloud data warehouses such as Redshift or Snowflake.
• Proficiency in Python or R and common libraries (pandas, NumPy, scikit-learn, XGBoost).
• Excellent communication to stakeholders with varying analytical experience.

Responsibilities

• Develop, validate, and deploy predictive models for fan engagement, ticket sales, and marketing.
• Understand drivers of soccer fandom and attendance across markets and teams.
• Forecast demand for matches and products and identify key drivers.
• Embed model outputs into campaigns, platforms, and lifecycle strategies.
• Establish model evaluation, monitoring, and documentation processes.

Skills

SQL

Python

Git

Communication

Stakeholder management

Data visualization

Problem solving

Attention to detail

Soccer knowledge

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Redshift

Snowflake

BigQuery

Databricks

AWS

EC2

Salesforce

Job description

U.S. Soccer Federation is seeking a Data Scientist to transform data into actionable insights and measurable business outcomes.

You will work with stakeholders from Commercial, Marketing, Ticketing, Membership, E-commerce, and Product to build AI-powered tools and analytical frameworks that improve performance and accelerate growth. The ideal candidate combines strong technical capabilities with business judgment and communication skills, comfortable with large datasets, and able to explain