Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from over 1,400 brands and boutiques
The Technology team builds end-to-end products and solutions that power the marketplace
Office near Porto, in a vibrant business hub with a large community of tech professionals
Responsibilities
Ensure the Statistical Engine delivers accurate, reliable, and timely experiment results
Improve experimentation capabilities, helping teams detect meaningful changes and make decisions faster
Evolve the platform to support new statistical methods, experiment designs, and business needs
Make the Statistical Engine easier to maintain, scale, and extend
Work with Data Engineering to improve data availability and integration with the Data Platform
Explore how AI and new technologies can help develop and improve the platform more efficiently
Partner with Data Analysts, Engineers, and Product Managers to turn experimentation challenges into practical solutions
Requirements
Good Python skills and experience developing or maintaining applications
Understanding of statistics, hypothesis testing, and A/B testing
Experience working with SQL and analysing datasets
Familiarity with software development practices, including version control and testing
Willingness to learn, investigate problems, and improve existing solutions
Good communication skills and ability to work with different teams
Preferred: experience with A/B testing or experimentation platforms, statistical methods such as causal inference or variance reduction, cloud data platforms (Google Cloud or BigQuery), knowledge of machine learning or AI-assisted development tools
Conditions
Health insurance for the whole family and other well-being resources
25 days of annual leave above the statutory, additional Caring Days (2 days per year), sabbatical program after 5 years of service
Training opportunities and free access to LinkedIn Learning