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Junior Data Scientist

Remote, USA Full-time Posted 2025-04-16

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, Luxclusive 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

The R&D team is responsible for building up a suitable software solution for different clients that allows them to liquidate their products. The R&D team structure is based in Manila, Porto and Brazil members.

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 Junior 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???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 are problem solving oriented and you???re also comfortable speaking English
  • Experience with CI/CD tools and cloud environments are a plus

    • 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 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.

    • Additional Information

    We're looking for a team player that is passionate about tech products and is looking for eager opportunities to grow.

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