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Selected role

Data Scientist Intern

Chicago Fire Chicago, IL, US

Senior Full-time

The Chicago Fire Football Club (Chicago Fire FC) is an American professional soccer club that competes in Major League Soccer (MLS), the top U.S. domestic league. Founded on October 8, 1997, on the 126th anniversary of the Great Chicago Fire, the Club began play in 1998 as one of the League’s first expansion franchises. The Fire have won six major domestic titles, including the 1998 MLS Cup; the 1998, 2000, 2003, and 2006 Lamar Hunt U.S. Open Cups; as well as the 2003 MLS Supporters’ Shield.

The Club recently announced plans to build a $750M+ privately financed downtown stadium in Chicago in 2028. The stadium will anchor Chicago’s newest neighborhood, the 78, a 62-acre development and entertainment district located along the Chicago River just south of Roosevelt Road. For more information on our bold plans, visit DearChicago.com.

Additionally, the Club recently opened the state-of-the-art $100M Endeavor Health Performance Center in March 2025 that has set the standard for North American training facilities. With tremendous growth and expansion, the Club is laying the foundation for an audacious and ambitious vision that will transform the brand and the company in the coming years.

At Chicago Fire FC, we’re on a mission to entertain, serve, and unite Chicago by delivering excellence on and off the pitch to ensure a world-class experience. As a club we let our values guide everything we do: we uphold uncompromising integrity, show respect for all at all times, never settle for less, constantly innovate, and hold ourselves relentlessly accountable.

Position Overview:

Chicago Fire Football Club is seeking a dedicated Data Scientist Intern to join our team! The Data Scientist Intern will report into the Director, Football Analytics. Our internship program provides the opportunity to work on meaningful football initiatives that will improve the capabilities of the Football Analytics department. The data analyst intern will be responsible for working across varied datasets to develop metrics, predictive models, and agentic tooling to support football operations stakeholders. The data scientist intern will get insight and experience into a wide array of different processes throughout the club.

Job Responsibilities:

Partner with analytics department colleagues to build models and tools to inform football operations decision-making
Contribute to the design and delivery of areas of stakeholder support, potentially including recruitment and scouting, performance, and internal analysis
Present and communicate models and tools to appropriate stakeholders
Ensure all data processes are efficient, reliable and in line with club standards and time frames
Develop strong working relationships across the multi-disciplinary team

Qualifications:

Enrolled in a quantitative Bachelor’s or Master’s program in Mathematics, Data Science, Statistics, Economics, or a related field
Experience with a scientific computing language (eg. R, Python)
Experience with SQL and relational databases
Knowledge of statistical analysis, machine learning and/or predictive modeling
Strong written and oral communication skills and an ability to collaborate with non-technical audiences
An ability to pick up new skills and knowledge quickly and effectively, from mentors and teammates
An understanding of football and desire to learn about football analytics

Compensation:

This role offers an hourly rate of $16.60
This role is classified as Part-time, non-exempt

Please note:

Chicago Fire FC is committed to fostering, cultivating, and preserving a culture of diversity, equity, accessibility, and inclusion. Our diversity initiatives start with the recruitment and selection process; therefore, we’d like to welcome all diverse candidates to apply to opportunities within our Club.
CFFC is committed to providing equal employment opportunity and maintaining a workplace for employees and applicants for employment that is free from discrimination. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, ethnicity, citizenship, age, veteran or military status, disability, sexual orientation, sexual orientation or expression, marital status or any other characteristic protected by law. This policy governs all aspects of employment, including hiring, promotion, compensation, discipline, termination, and access to benefits and training.
- If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, please contact the Human Resources Department at [email protected] to let us know the nature of your request and your contact information.

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