Senior Data Scientist

About the role

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.