Vestiaire Collective stands as the premier global online marketplace for sought-after pre-owned fashion. Our objective is to revolutionize the fashion industry towards a sustainable future by enabling our community to champion the circular fashion movement. Established in 2009 and headquartered in Paris, we have expanded our presence with offices in London, Berlin, New York, Singapore, Ho Chi Minh City, and warehouses in Tourcoing (France), Crawley (UK), Hong Kong, and New York.
Our diverse global workforce of 600 employees represents over 50 nationalities. We are guided by our core values: Activism, Transparency, Dedication, Greatness, and Collectiveness.
About the Role
We are on the lookout for an exceptional Staff Data Scientist to join our Operations and Customer Service department. In this pivotal role, you will spearhead the development of advanced AI models that streamline our internal operations and elevate customer experiences. Your responsibilities will include creating systems that empower our Curation team to validate product quality and authenticity based on customer-submitted descriptions and images, as well as innovating new models to enhance customer interactions with our platform. This role demands comprehensive end-to-end machine learning expertise paired with a customer-focused approach to drive significant enhancements in accuracy, operational efficiency, and overall customer satisfaction.
Key Responsibilities
- Develop and manage comprehensive AI/ML solutions for item quality and authenticity verification, including:
- Image analysis to identify marks, defects, wear, and size discrepancies.
- Understanding text and metadata for brand, sizing, and category anomalies.
- Designing models for counterfeit and fraud detection.
- Prototype and refine AI models that enhance customer-facing experiences on our platform (e.g., smarter assistance).
- Collaborate with Product and Curation teams to establish requirements, integrate AI models into their workflows, and provide actionable insights to improve verification processes.
- Guide and support data collection and feedback mechanisms for continuous model improvement and performance monitoring.
- Conduct rigorous model evaluation, including A/B testing and ongoing enhancements of AI models.
- Partner with engineering teams to ensure smooth deployment and integration of AI models into our existing platforms.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning technologies.