Level

Farfetch

Data Scientist – Experimentation Platform

Farfetch is hiring a Data Scientist – Experimentation Platform in Porto, Portugal. Level rates it ; you can apply on Level.

Level's read on this job

  • On Level's scale, this data scientist role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Python, statistics and a b testing.
  • Level files it as a senior role.
  • Level lists 42 other open roles at Farfetch.
  • The role was posted in the last few days.

AI in this role

Own and evolve the experimentation platform and Python-based statistical engine while exploring AI integration.

python
statisticsa-b-testingdata-analysisexperimentation
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.

How we rate this

Data Scientist – Experimentation Platform at Farfetch rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

StatisticsA B TestingData AnalysisExperimentationPython

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$170k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where statistics was part of your work. What did you do?
  2. Tell me about a project where a b testing was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where experimentation was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Statistics, A B Testing, Data Analysis, Experimentation, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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