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Data Scientist – Experimentation Platform

Farfetch

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Location
Porto
Workplace
Hybrid
Type
Full-time
Department
Farfetch - Technology
Source
Lever

Description

Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace. 
 
 
TECHNOLOGY
 
The Technology team builds end-to-end products and solutions that power our marketplace, delivering an incredible experience for customers globally. From understanding customer and partner needs to designing and testing innovative hypotheses, we create industry-leading experiences for luxury customers everywhere.
 
 
PORTO
 
Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals. 
 
 
THE ROLE
 
We are looking for an experienced and hands-on Data Scientist to join our Data team at FARFETCH, with a focus on evolving our in-house Experimentation Platform and its custom-built Statistical Engine.
 
Our Experimentation Platform enables teams across FARFETCH to run A/B tests, measure the impact of product changes, and make data-driven decisions at scale. At its core, our Python-based Statistical Engine processes experiment results and powers automated, self-service analytics.

In this role, you will take technical ownership of the Statistical Engine, combining strong statistical expertise with software engineering skills to improve its reliability, scalability, and analytical capabilities.
 
You will work closely with Data Engineering, Data Analytics, Product, and Engineering teams to modernise our experimentation capabilities, introduce advanced statistical methods, and explore how AI can accelerate platform development and improve experimentation workflows.

Skills

PythonSQLMachine LearningBigQueryData Engineering

Benefits

Health insurance for the whole family and other well-being resources25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years serviceTraining opportunities and free access to LinkedIn LearningFlexible benefits programFlexible working environment

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