- Job Type: Full-Time
- Function: Data Science
- Industry: Consumer
- Post Date: 09/16/2024
- Website: vestiairecollective.com
- Company Address: 53, Rue de Châteaudun, Paris, Île-de-France 75009, FR
About Vestiaire Collective
The leading global online marketplace for desirable pre-loved fashion. Certified B Corporation.Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote circular fashion.Job Description
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.
Vestiaire Collective is looking for a Senior Applied Scientist to join the Discovery Collective team in Berlin.
About the role 🖥️
- We are building a new team to face fashion search challenges. You will be part of a multicultural, innovative, versatile, supportive environment that takes work-life balance seriously. To have a data driven company is one of our priorities. The Search team is working on delivering high quality search results from 5M+ items, for 78 markets in 6+ languages. You will work with other software engineers and applied scientists to build Vestiaire Collective’s fashion search & recommendation engine. You will work on hard and fun problems of fashion discovery where personalization matters.
What you will do 👜
- Build full pipelines for models to solve use cases for fashion discovery (product recommendation, ranking, personalization…)
- Collaborate with business and product and other engineers and applied scientists and deploy your solutions to production.
- Ensure model maintenance, monitoring, and scalability are consistently addressed.
- Propose and implement R&D POC projects if you identify possible enhancements to the business, and pitch them to the relevant teams
- You will be expected to take on a leadership role on your projects: you will make the appropriate technical choices (algorithms, data transformation, technologies to use), discuss scope & scheduling with collaborators outside the team, and incorporate feedback as needed.
Who you are ⭐
- Demonstrated ability to create and optimize end-to-end pipelines for machine learning models. You are very familiar with MLOps.
- Strong experience in delivering Machine Learning projects which have created impact on production.
- Technical knowledge in Deep Learning, Python, SQL, Machine learning & Statistics
- Broad interests in DS and adjacent topics: modelling, statistics, monitoring, data engineering, production.
- Experience with cloud providers (AWS, GCP, Azure), Experience with AB testing.
- Fluent English (technical interviews will be conducted in English)
- Initiative, autonomous, communicating with technical and non-technical people
Our Tech Stack :
- Languages: Python, Golang.
- Application Framework: PyTorch, Airflow, FastAPI, Tensorflow, Torchserve
- Data Storage: Snowflake, Redis, Elasticsearch
- Others: AWS, Docker, Kubernetes, Github
- More information about our stack : Vestiaire Tech Radar and our Tech Blog
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 (i.e 28 days of paid time off)
As full member of our entrepreneurial project, you will be eligible to free shares
Surveys show that women and members of underrepresented communities only apply for a job if they meet 100% of the required conditions. Does this sound like you? If so, Vestiaire Collective encourages you to reconsider your application. We look forward to receiving your application!
Vestiaire Collective is an equal opportunities employer