Staff Data Scientist

About 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.

Responsibilities

• Design and own end-to-end AI/ML solutions for item quality and authenticity detection
• Design, prototype, and iterate on AI models that directly power and improve customer-facing experiences
• Collaborate closely with the Product and Curation teams to define requirements and integrate AI models
• Advise and direct data/feedback collection for continuous improvement and monitoring of model performance
• Perform rigorous model evaluation, A/B testing, and continuous improvement of AI models
• Work with engineering teams to ensure seamless deployment and integration of AI models
• Research and stay updated on the latest advancements in AI, machine learning, and computer vision
• Mentor senior and mid-level data scientists

Requirements

• 6+ years of experience in data science, machine learning engineering, or AI development
• Deep expertise in applied AI/ML (computer vision, anomaly detection, fraud/risk modeling)
• Experience in architecturing, deploying, and maintaining AI systems at scale
• Proficiency in Python and relevant libraries/frameworks
• Deep understanding of machine learning algorithms, statistical modeling, and data manipulation
• Experience with data visualization tools and effective communication of insights
• Strong problem-solving skills and ability to work independently and collaboratively

Benefits

• Meaningful job with an impact on sustainable fashion consumption
• Opportunity to do career-defining work in a fast-growing scale-up
• Globally diverse team with more than 50 nationalities
• Two days to help Project - reinforcing your activist journey
• Significant investment in your learning and growth
• Competitive compensation and benefits package