Staff Data Scientist

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. We were founded in 2009 and are headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Mi and Hong Kong, and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness. We are proud to be a BCorp. About the Role We are seeking a highly skilled and experienced Staff Data Scientist to join our Operations and Customer Service department. You will be instrumental in developing advanced AI models that enhance both internal operational workflows and customer‑facing experiences. This includes building systems that help our Curation team verify product quality and authenticity from customer‑provided descriptions and images, as well as exploring and delivering new models aimed at improving how customers interact with our platform. The role requires strong end‑to‑end machine learning expertise and a user‑centric mindset to drive measurable improvements in accuracy, operational efficiency, and overall customer experience. Responsibilities Design and own end‑to‑end AI/ML solutions for item quality and authenticity detection, spanning image analysis (detecting marks, defects, wear, size inconsistencies). Text and metadata understanding (brand, sizing, category anomalies). Counterfeit and fraud detection models. Design, prototype, and iterate on AI models that directly power and improve customer‑facing experiences on our platform (e.g., smarter assistance). Collaborate closely with the Product and Curation teams to define requirements, integrate AI models into their workflow, and provide insights to enhance their verification processes. Advise and direct data/feedback collection for continuous improvement and monitoring of the performance of the models. 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 into our existing platforms. Research and stay updated on the latest advancements in AI, machine learning, deep learning and computer vision to identify new opportunities and best practices. Mentor senior and mid‑level data scientists, raising the technical bar on modelling, data quality, and experimentation best practices. Communicate complex technical concepts and findings to both technical and non‑technical stakeholders. Qualifications 6+ years of experience in data science, machine learning engineering, or AI development, with a strong focus on computer vision applications and customer‑facing models. Deep expertise in applied AI/ML (computer vision, anomaly detection, fraud/risk modelling) and a track record of leading technical initiatives and influencing decisions across teams. Experience architecting, deploying, and maintaining AI systems at scale. Proficiency in programming languages such as Python and experience with relevant libraries/frameworks (e.g., TensorFlow, TorchServe, TensorflowServing, PyTorch, scikit‑learn, spaCy, Hugging Face Transformers, OpenCV). Deep understanding of machine learning algorithms, statistical modelling, and data manipulation techniques. Experience with data visualization tools and communicating insights effectively. Strong problem‑solving skills and the ability to tackle complex, ambiguous problems. Ability to work independently and collaboratively in a fast‑paced, global team environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Experience building or maintaining customer service chatbot systems is a plus. Familiarity with database technologies (SQL, NoSQL) and cloud data warehouse (BigQuery/Snowflake). Excellent communication and interpersonal skills. Fluency in written and spoken English (please send your application in ENGLISH only). Tech Stacks Deep Learning & ML frameworks & Libraries: PyTorch, Tensorflow, Scikit-learn, OpenCV, TorchServe, TensorflowServing.Model serving: Airflow, Torchserve, TFServing, Triton Inference Server, REST APIs, gRPC.Deployment: Kubernetes (K8s). What we offer A meaningful job with an impact on the way people consume fashion and promote sustainability. The opportunity to do career‑defining work in a fast‑growing French‑born scale‑up. The possibility to work as part of a globally diverse team with more than 50 nationalities. Two days to help Project – reinforcing your activist journey and volunteer for an association. Significant investment in your learning and growth. Competitive Compensation And Benefits Package As a full member of our entrepreneurial project, you will be eligible for free shares. We believe talent comes in many forms and we are committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don’t tick every box. Vestiaire Collective is an equal opportunities employer Research indicates that people from under‑represented backgrounds—including women, people with disabilities, and other marginalized communities—often hesitate to apply for roles unless they meet every single requirement. Beware of Scams Vestiaire Collective only contacts candidates via official emails ending in @vestiairecollective.com or no‑reply@hire.lever.co. We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details. If you receive a suspicious message, please report it to talentacquisition@vestiairecollective.com. Job Details Seniority level: Not Applicable Employment type: Full‑time Job function: Engineering and Information Technology Industry: Software Development Location: Neuilly‑sur‑Seine, Île‑de‑France, France We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr