FIFA · 6 days ago
Data Scientist (Freelancer)
United States
Contract
Remote
Entry, Mid Level
2+ years expFIFA is dedicated to governing the beautiful game with transparency and integrity. They are seeking a Data Scientist to support the development of economic player-valuation models and conduct advanced data science projects to enhance various business units.
SoccerSports
Responsibilities
Support in the development and maintenance of an economic player‑valuation model
Conduct advanced data science projects (web scraping, NLP, machine learning, predictive modelling) to support multiple business units
Build and maintain interactive dashboards in Power BI for operational tasks and to analyse, monitor and refine internal processes
Support business users in implementing analyses for reports, publications and internal research projects
Design, implement and maintain ETL pipelines for various structured and semi-structured data sources
Build and maintain data models used for Power BI reports
Actively collaborate with technical and non‑technical stakeholders, translating business requirements into robust analytical solutions
Qualification
Required
Strong analytical thinking with the ability to break down complex modelling problems into structured, testable components
Solid quantitative reasoning and a rigorous, evidence‑based approach to problem‑solving
Intellectual curiosity and enthusiasm for exploring football, finance, and data‑driven questions
Ability to communicate complex technical findings clearly and visually, adapting the message to both technical and non‑technical audiences
High sense of ownership, reliability, and accountability for data quality, modelling choices, and delivered outputs
Collaborative team player who actively seeks feedback, contributes to shared standards, and supports knowledge exchange within the team
Comfort working in a fast‑moving environment with evolving requirements, and ability to prioritise effectively
Master's degree in any technical/quantitative field (e.g. Data Science, Economics, Applied Mathematics, Statistics or related disciplines) or equivalent practical experience
2-5 years of experience in data analytics, data modelling, machine learning, or quantitative research
Experience applying statistical, econometric, or financial‑economic models to real‑world datasets (e.g., valuation models, forecasting models, risk models)
Proven experience translating business or research questions into robust analytical solutions, supported by clear data visualizations, effectively communicating insights to both technical and non‑technical stakeholders
Fluent in English
Expertise in Python data science stack for statistical/econometric modelling
Experience working with SQL and relational databases
Experience working with business intelligence tools (Power BI is a plus)
Preferred
Experience working with sports data — particularly football player performance, event data, or tracking data (Opta, Stats Perform, Hawkeye, SportsMonks, etc.) — is an advantage
Experience on the implementation of option‑value estimation techniques (Black‑Scholes) is an advantage
Other languages can be a plus
Experience with JavaScript, SSMS, SSDT, Node-RED and MS azure cloud services is a plus
Company
FIFA
Founded in 1904, the Fédération Internationale de Football Association (FIFA) is the umbrella organisation of its members, currently 211 national football associations.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Leo Holmes
Senior Manager - Partnership Development
Mourad Ghrairi
Chief Medical Officer
Recent News
Sports Business Journal
2026-01-23
2026-01-09
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