Pagrindinis

Senior Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal Įmonė: Jobio Klientas / Darbdavys: Farfetch
Paskelbta: 22.05.2026
Galutinė data: 06.07.2026
Darbo nuoroda: ee7ea3c73f4a9bfb6fa72224bbf64233

Informacija apie darbą

Vieta
Lisboa, Lisbon Metropolitan Area, Portugal
Įmonė
Jobio
Klientas / Darbdavys
Farfetch
Darbo nuoroda
ee7ea3c73f4a9bfb6fa72224bbf64233
Skelbimo tipas
Pagrindinis
Reikalingas ES darbo leidimas
Ne
Paskelbta
22.05.2026
Galutinė data
06.07.2026

Darbo aprašymas

Luxclusif is a technology-driven global B2B platform founded in 2013 and part of Farfetch since 2021. Dedicated to redefining the luxury paradigm by offering premium pre-owned fashion to a global audience, Luxclusif has pioneered the global luxury resale market, with advanced data-driven solutions to facilitate the buying and selling of high-end pre-owned items. With operations spread across the globe and strategic warehouses in key locations, ensure a seamless supply of luxury goods, ensuring item curation, quality control, operations, logistics to technology integrations and sales, delivering an unmatched resale experience for brands, retailers, and end-customers.

THE TEAM
Our R&D team is responsible for designing, developing, and evolving the internal products that power our business. As a B2B company specialising in second-hand luxury items, we rely on technology to optimise every stage of our operations, from buying and inbound logistics to selling and post-sales support. We are a global team with members across Portugal, Brazil, and the Philippines.

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
As a Data Scientist you will be part of a multidisciplinary team within the Data cluster, responsible for the development of strategic data products to enable company competitiveness and analytical insights collaborating closer with the R&D Products line. We're looking for a team player that is passionate about tech products and is looking for eager opportunities to grow.
WHAT YOU’LL DO
    • Collaboratively design, build, and maintain solutions within our platform using multiple tools applying statistical approaches and machine learning techniques.
    • Working closely with our Engineers and Analysts in highly impactful and complex challenges. Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies.
    • Perform analysis and experiments that allow the team to identify opportunities and follow new implementations contributing directly to the evolution of our data products.
WHO YOU ARE
    • You have a degree in Mathematics, Computer Science, Machine Learning or equivalent specialized training/certification.
    • You have at least 5 years of experience in the role or similar with proven experience on data science environments, building and architecture production-level data products.
    • You’re capable to design, model, develop, test and maintain machine learning solutions and you have the experience to productize these solutions.
    • You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries).
    • You’ve a strong sense of the data lifecycle and you’re obsessed with data quality.
    • Proactive mindset regarding AI tools and solutions with high impact for the business and productivity.
    • You are problem solving oriented and you’re also comfortable speaking English.
    • Experience with CI/CD tools and cloud environments.
REWARDS & BENEFITS
    • Health insurance for the whole family, flexible working environment and well-being support and tools
    • Extra days off, sabbatical program and days for you to give back for the community
    • Training opportunities and free access to Udemy
    • Flexible benefits program
EQUAL OPPORTUNITIES STATEMENT
    • FARFETCH is committed to being an inclusive workplace where diversity in all its forms is celebrated. We make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other classification protected by applicable federal, state or local laws or ordinances. If you require special accommodation, please let us know.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Įgūdžiai

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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