Data Scientist

• 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 modeling, data quality, and experimentation best practices
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders

Staff Data Scientist

Data Scientist