Farfetch

Data scientist - experimentation platform

  • Remote · Porto
  • Hybrid
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Job at a glance

Stack
Python
Location
Porto
Work setup
Remote
Contract
Hybrid
Posted
This week

Description

Sobre a vaga

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.You will take technical ownership of the Statistical Engine to improve its reliability, scalability, and analytical capabilities.

O que vais fazer
  • Ensure our Statistical Engine delivers accurate, reliable, and timely experiment results
  • Improve our 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 as our experimentation needs grow
  • Work with Data Engineering to improve data availability and integration with our Data Platform
  • Explore how AI and new technologies can help us develop and improve the platform more efficiently
  • Partner with Data Analysts, Engineers, and Product Managers to turn experimentation challenges into practical solutions
O que é pedido
  • 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
Valorizado
  • 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
O que é oferecido
  • 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

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

Investimento de tempo

Processo de entrevista

1. Initial Screening: An introductory conversation focused on professional background, cultural fit, and an overview of the role.

2. Good for Role: A comprehensive technical assessment evaluating domain-specific skills, which may include a practical technical exercise.

3. Good for Farfetch: A behavioural assessment anchored in company principles, evaluated using the STAR methodology.

4. Offer Stage: A final review and offer discussion with the Hiring Manager and a Talent Acquisition representative.

Quanto paga este cargo

Este anúncio não mostra o salário

✸ Benefícios e vantagens (8)

  • Comida, fruta e bebida
  • Estacionamento gratuito ou condições especiais
  • Flex benefits
  • Flexibilidade de horário
  • Mais de 22 dias de férias
  • Permite período sabático
  • Prémios de performance
  • Seguro de saúde

✸ Valores e cultura (9)

  • Aberto a open source
  • Ambiente internacional
  • CI / CD
  • Códigos de alta qualidade
  • Equipa com senioridade elevada
  • Feedback contínuo e 360º
  • Híbrido
  • Tecnologias de ponta
  • Unit testing
  • Python

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