Staff Data Scientist (HCMC)
Vestiaire Collective
Data Science
Ho Chi Minh City, Vietnam
Posted on Sep 26, 2025
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
We are seeking a highly skilled and experienced Staff Data Scientist to join our Operations And Customer Service department. You will be instrumental in building advanced chatbot services to automate customer queries and developing robust AI models for our curation team to verify product quality and authenticity based on customer descriptions and images. This role requires a strong blend of data science expertise, machine learning development, and a customer-centric mindset to drive significant improvements in efficiency and accuracy.
What you will do
- 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
- Collaborate closely with the Curation team to define requirements, integrate AI models into their workflow, and provide insights to enhance their verification processes.
- Collect, clean, and preprocess large and diverse datasets (text, images, customer interactions) essential for training and evaluating AI models.
- Design, develop, and deploy AI-powered chatbot solutions to automate responses to common customer inquiries, improving response times and customer satisfaction.
- Perform rigorous model evaluation, A/B testing, and continuous improvement of AI models and chatbot performance.
- Work with engineering teams to ensure seamless deployment and integration of AI models and chatbot services into our existing platforms.
- Research and stay updated on the latest advancements in AI, machine learning, deep learning, NLP, 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.
Who you are
- 6+ years of experience in data science, machine learning engineering, or AI development, with a strong focus on NLP and computer vision applications.
- Deep expertise in applied AI/ML (computer vision, NLP, anomaly detection, fraud/risk modeling).Experience in deploying, and maintaining conversational AI systems.
- Proficiency in programming languages such as Python and experience with relevant libraries/frameworks (e.g., TensorFlow, - PyTorch, scikit-learn, spaCy, Hugging Face Transformers, OpenCV).
- Deep understanding of machine learning algorithms, statistical modeling, and data manipulation techniques.
- Background in linguistics/NLP or multilingual datasets.
- Familiarity with translation quality evaluation metrics (GEMBA, BLEU, COMET, MQM), glossary consistency checks, and text similarity.
- Experience with data visualization tools and communicating insights effectively.
- Strong problem-solving skills, with 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.
- Familiarity with database technologies (SQL, NoSQL).
- Excellent communication and interpersonal skills.
- Fluency in written and spoken English
Our Tech Stacks includes
Deep Learning & ML frameworks & Libraries: PyTorch, Tensorflow, Scikit-learn, OpenCVModel
serving: Torchserve, TFServing, Triton Inference Server, REST APIs, gRPC
Deployment: 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 full member of our entrepreneurial project, you will be eligible to free shares
Research indicates that people from underrepresented backgrounds—including women, people with disabilities, and other marginalized communities—often hesitate to apply for roles unless they meet every single requirement.
At Vestiaire Collective, we believe that talent comes in many forms, and we're 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
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