Tag Walk
Senior Data Scientist
Permanent
Paris, France
Our client is the first fashion search engine, created in 2016 which references all the photos from the shows in Paris, Milan, London, and New York, by themes, colors and styles, and now beauty. An international B2B database for the industry, the search engine is the fashion research expert for all key players. It centralizes all fashion categories (runway, accessories, streetstyle, models, make-up) with a proprietary referencing system and performs detailed tagging of tens of thousands of looks yearly with an internally-developed artificial intelligence. As a unique tech platform, it also collects and analyzes data from fashion shows to provide valuable B2B insights and trends to key fashion and luxury players.
Level
Manager
Skills
Communication Skills (Intermediate)
Customer Relations (Intermediate)
Digital Analysis (Intermediate)
Google Analytics (Intermediate)
Luxury and/or Fashion (Intermediate)
Media Agencies (Intermediate)
Power Point (Intermediate)
Languages
French (Work Proficiency)
English (Work Proficiency)
JOB DESCRIPTION
● You will develop machine learning models to extract features from fashion show images
● You will work with the fashion team to have a better understanding of the taxonomy
● You will work with the engineering team to build the platform needed to train and deploy the models
THE PROFILE
● You are an experienced Data Scientist specialized on computer vision (5+ years required)
● You have a mathematics degree (Bachelor required)
● You have a strong understanding of image segmentation models, image compression algorithms and of wavelet transforms
● You have a self-taught approach – you like to learn new things by yourself and find solutions to problems you encounter
● Creativity & proactivity - you can find creative and simple solutions to tricky problems, use new approaches, tools and/or test new ways of leveraging data
● Entrepreneurial experience can be a plus
TECHNICAL STACK
● You will write your models with Python 3, C99, Docker, PyTorch, Scikit, OpenCV, Numpy
● You have a basic understanding of how to write SIMD-based algorithms
● You will profile your code with scalene and valgrind
● You will use OpenSearch to store and fetch content
● You will train and evaluate your models on AWS Sagemaker
Level
Manager
Skills
Communication Skills (Intermediate)
Customer Relations (Intermediate)
Digital Analysis (Intermediate)
Google Analytics (Intermediate)
Luxury and/or Fashion (Intermediate)
Media Agencies (Intermediate)
Power Point (Intermediate)
Languages
French (Work Proficiency)
English (Work Proficiency)
Our client is the first fashion search engine, created in 2016 which references all the photos from the shows in Paris, Milan, London, and New York, by themes, colors and styles, and now beauty. An international B2B database for the industry, the search engine is the fashion research expert for all key players. It centralizes all fashion categories (runway, accessories, streetstyle, models, make-up) with a proprietary referencing system and performs detailed tagging of tens of thousands of looks yearly with an internally-developed artificial intelligence. As a unique tech platform, it also collects and analyzes data from fashion shows to provide valuable B2B insights and trends to key fashion and luxury players.
JOB DESCRIPTION
● You will develop machine learning models to extract features from fashion show images
● You will work with the fashion team to have a better understanding of the taxonomy
● You will work with the engineering team to build the platform needed to train and deploy the models
THE PROFILE
● You are an experienced Data Scientist specialized on computer vision (5+ years required)
● You have a mathematics degree (Bachelor required)
● You have a strong understanding of image segmentation models, image compression algorithms and of wavelet transforms
● You have a self-taught approach – you like to learn new things by yourself and find solutions to problems you encounter
● Creativity & proactivity - you can find creative and simple solutions to tricky problems, use new approaches, tools and/or test new ways of leveraging data
● Entrepreneurial experience can be a plus
TECHNICAL STACK
● You will write your models with Python 3, C99, Docker, PyTorch, Scikit, OpenCV, Numpy
● You have a basic understanding of how to write SIMD-based algorithms
● You will profile your code with scalene and valgrind
● You will use OpenSearch to store and fetch content
● You will train and evaluate your models on AWS Sagemaker
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