Working at Soda
- At Soda, you will find a unique mix of leading scientific research and technical expertise to leverage machine learning and statistical signal processing for data-science applications that matter. Working at Soda is a unique opportunity to develop your expertise.
- Soda is part of Inria, the French computer science institute. This gives us access to collaborations with experts in high-performance computing, databases, machine learning etc.., support services with expert programmers, grid computing and massive storage infrastructures. On top of that, having worked at Inria is a great line on a CV.
- Soda has close historical ties with the mind (previously called Parietal) and scikit-learn team at Inria: we share office space, some of the meetings, and know each other very well. As a result, we form a vibrant human, technical, and scientific community.
- Soda is committed to high-quality work, both in terms of publications and of open-source software. At Soda you can have a real impact by joining a team that produces methods and software to tackle difficult data-science problems.
- We value human interactions, all forms of diversity and personal interests.
Post-doc
- Evaluating a digital medical device by extrapolating prior studies, a post-doc on statistics (causal inference) and health with Judith Abécassis & Gaël Varoquaux
- Enhancing frugality and robustness during the training of an LLM model for French medical texts, with Judith Abécassis & Gaël Varoquaux
Internships:
Master 2 internships, some followed by a PhD (the internship serves as a prequel to PhD programs, contact us on these if you want to do a PhD on the topic):
- Équité et performance prédictive du ciblage des campagnes de prévention dans le SNDS : quel apport d’un modèle d’IA prédictif par rapport à des règles métiers ? – With Judith Abécassis & Milena Suarez-Castillo (DREES)
- Knowledge Tracing assistant for Learning Programming – With Jill-Jênn Vie
Data scientist:
Collaboration on a hospital database: We have not opened a specific position open, however we need people who are passionate about health (typically electronic health records) and data science (typically with a good data-science experience)
