Senior Data Scientist - Berlin

Posted 4 Days Ago
Be an Early Applicant
Berlin
Hybrid
Senior level
eCommerce • Fashion • Retail
The Role
The Senior Data Scientist will develop full machine learning pipelines for fashion search and recommendations, collaborating with teams to enhance model performance and sustainability. Key responsibilities include deploying models, overseeing their maintenance, and leading project discussions with diverse teams.
Summary Generated by Built In

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 (F/M/D) to join the Discovery Collective team in Berlin.


About the role 🖥️

Based in Berlin, 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 80+ markets in 8+ 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 Technology Stack includes

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 ourTech Blog


** The role is hybrid, based in Berlin **

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

Top Skills

Go
Python
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Paris
754 Employees
On-site Workplace
Year Founded: 2009

What We Do

The leading global online marketplace for desirable pre-loved fashion. Certified B Corporation. #LongLiveFashion.

Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote circular fashion.

Our platform is unique thanks to a rare inventory of 5 million items including 20,000 daily new-ins.

We currently have a diverse global team of 800 employees representing more than 50 nationalities. We stand by our values: community, activism, transparency, dedication and greatness, and are proud to be a Bcorp!

Vestiaire was founded in 2009 and is headquartered in Paris with offices in Tourcoing, London, Berlin, New York, Hong Kong, Singapore, Lisbon, Seoul.

Similar Jobs

Contentful Logo Contentful

Senior Data Scientist (f/m/d)

Enterprise Web • Marketing Tech • Software
Hybrid
Berlin, DEU
744 Employees

AUTO1 Group Logo AUTO1 Group

Team Lead Data Science (f/m/x)

Automotive • Information Technology
Remote
Berlin, DEU
3423 Employees
Berlin, DEU
32902 Employees
Berlin, DEU
32902 Employees

Similar Companies Hiring

Munchkin, Inc. Thumbnail
Kids + Family • Enterprise Web • eCommerce • Consumer Web • 3D Printing
Milton, Ontario
325 Employees
Optimum Thumbnail
Software • Retail • Mobile • Marketing Tech • Internet of Things • Digital Media • AdTech
Long Island City, NY
9000 Employees
Grocery TV Thumbnail
Software • Retail • Marketing Tech • Hardware • Digital Media • AdTech
Austin, TX
45 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account