- Postes vacants:
- 1 poste ouvert
- Type d'emploi désiré :
- CDI
- Experience :
- 5 à 10 ans
- Niveau d'étude :
- DESS, DEA, Master, Bac + 5, Grandes Ecoles
- Rémunération proposée :
- Plus 3000 DT
- Langue :
- Français, Anglais
Description de l'emploi
For one of our clients in switzerland, we are hiring an AI/ML Data Scientist, you will work within the newly created data science team to help partners devise scalable and reproducible end-to-end machine learning solutions for Digital health. Your main focus will be research and development, combining dynamic experimentation, a passion for details and a failfast attitude. You will also be responsible for translating research output to production systems, in close collaboration with our partners’ software teams and other stakeholders. Finally, given your AI/ML Data Scientist Page 2 | 3 key role within the team you will have the opportunity to mentor and inspire junior data scientists/interns. Your day to day work will include:
Perform robust data analysis and communicate results with sophisticated visualisation methods
Create and implement statistical & machine learning algorithms, assessing their effectiveness through solid validation workflows
Clinical project support to guide decision making and create analytical solutions to address questions of interest to our stakeholders.
Assisting with the publication of scientific papers and abstracts
Exigences de l'emploi
You have expert knowledge of Python and are familiar with at least one deep learning framework (e.g. Tensorflow, Keras, PyTorch). You have knowledge of at least one additional scripting language (e.g. R) and bash/shell scripting. Experience with hybrid R/Python frameworks and object-oriented programming is considered a plus.
You have experience with processing, analyzing and modeling sensor data/time series data.
You have demonstrated experience with building deep learning models (real-world project portfolio and/or publications).
You are familiar with cloud computing and development/test/production environments.
You are familiar with experimental design.
Experience in any of these is a plus: SQL, NoSQL, Shiny, Graph database, Knowledge Graph, Tidyverse.
You are curious, inquisitive, collaborative, with a deep appreciation for diversity.
You are fluent in English (full professional proficiency).
Date d'expiration
14/04/2021