Farfetch

Data Scientist – Experimentation Platform

Porto

Live, first seen by us 20 days ago

Pay: Pay not listed
Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Ensure the Statistical Engine delivers accurate, reliable, and timely experiment results
Evolve the platform to support new statistical methods and experiment designs
Make the Statistical Engine easier to maintain, scale, and extend
Work with Data Engineering to improve data availability and platform integration
Explore how AI can help develop and improve the platform more efficiently

From the employer’s posting

Ensure our Statistical Engine delivers accurate, reliable, and timely experiment results.

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.

What you’ll bring

All qualifications

Core 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.
Good communication skills and ability to work with different teams.

Preferred experience

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.

Qualification wording

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.

Good communication skills and ability to work with different teams.

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.

Apply at Farfetch

Posting record

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Status in our records: Live
First seen by us: Oct 17, 202620 days ago
Recorded sightings: 23
Last seen by us: Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 20

Similar jobs usually come down between day 7 and day 56.

At Farfetch, jobs usually come down by about day 43.

From 10,418 similar postings that came down, and 12 of Farfetch’s. Coming down is not always a hire.

Farfetch is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

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Python
SQL
BigQuery
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Where the posting names them

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.

- Required Skills & Experience - Good Python skills and experience developing or maintaining applications. - Understanding of statistics, hypothesis testing, and A/B testing.

- 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.

- 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.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Employment type

Full-time

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