The Role
Develop and maintain FARFETCH’s Python-based Statistical Engine powering its experimentation platform. Ensure accurate, reliable, and scalable A/B test results; introduce statistical methods and experiment designs; improve data integration and platform maintainability; and collaborate with Data Engineering, Analytics, Product, and Engineering teams. The role also explores AI-assisted development and advanced experimentation techniques such as causal inference and variance reduction.
Summary Generated by Built In
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.
WHO YOU ARE
- Required Skills & Experience
- 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 Skills
- Experience with A/B testing or experimentation platforms.
- Familiarity with statistical methods such as causal inference or variance reduction.
- Experience with cloud data platforms, ideally Google Cloud or BigQuery.
- Some knowledge of machine learning or AI-assisted development tools.
WHAT YOU'LL DO
- Ensure our Statistical Engine delivers accurate, reliable, and timely experiment results.
- Improve our experimentation capabilities, helping teams detect meaningful changes andmake decisions faster.
- Evolve the platform to support new statistical methods, experiment designs, and businessneeds.
- Make the Statistical Engine easier to maintain, scale, and extend as our experimentationneeds grow.
- Work with Data Engineering to improve data availability and integration with our DataPlatform.
- Explore how AI and new technologies can help us develop and improve the platform moreefficiently.
- Partner with Data Analysts, Engineers, and Product Managers to turn experimentationchallenges into practical solutions.
REWARDS & BENEFITS
- Health insurance for the whole family and other well-being resources
- 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service
- Training opportunities and free access to LinkedIn Learning
- Flexible benefits program
- Flexible working environment
EQUAL OPPORTUNITIES
- Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process.
We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
SCAM DISCLAIMER
- It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.
This is a hands-on opportunity to shape the evolution of a business-critical experimentationplatform, with a strong focus on statistical innovation and engineering excellence.
Skills Required
- 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
- Experience with A/B testing or experimentation platforms
- Familiarity with causal inference or variance reduction
- Experience with cloud data platforms, ideally Google Cloud or BigQuery
- Some knowledge of machine learning or AI-assisted development tools
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The Company
What We Do
FARFETCH is the leading global platform for the luxury fashion industry. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers. Founded in 2007 by José Neves for the love of fashion, and launched in 2008, FARFETCH began as an e-commerce marketplace for luxury boutiques around the world. Today the FARFETCH Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,300 of the world’s best brands, boutiques and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a single platform. FARFETCH’s additional businesses include Browns and Stadium Goods, which offer luxury products to consumers, and New Guards Group, a platform for the development of global fashion brands. FARFETCH offers its broad range of consumer-facing channels and enterprise level solutions to the luxury industry under its Luxury New Retail initiative. The Luxury New Retail initiative also encompasses FARFETCH Platform Solutions, which services enterprise clients with e-commerce and technology capabilities, and innovations such as Store of the Future, its connected retail solution.
