Senior Data Scientist

at  Vestiaire Collective

Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York.
We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp.

ABOUT THE ROLE \UD83D\UDDA5️

• We are building a new team to face fashion search challenges. You will be part of a multicultural, innovative, versatile, supportive environment that takes work-life balance seriously. To have a data driven company is one of our priorities. The Search team is working on delivering high quality search results from 5M+ items, for 78 markets in 6+ languages. You will work with other software engineers and applied scientists to build Vestiaire Collective’s fashion search & recommendation engine. You will work on hard and fun problems of fashion discovery where personalization matters.

WHAT YOU WILL DO \UD83D\UDC5C

• Build full pipelines for models to solve use cases for fashion discovery (product recommendation, ranking, personalization…)
• Collaborate with business and product and other engineers and applied scientists and deploy your solutions to production.
• Ensure model maintenance, monitoring, and scalability are consistently addressed.
• Propose and implement R&D POC projects if you identify possible enhancements to the business, and pitch them to the relevant teams
• You will be expected to take on a leadership role on your projects: you will make the appropriate technical choices (algorithms, data transformation, technologies to use), discuss scope & scheduling with collaborators outside the team, and incorporate feedback as needed.