MathAData développe des ressources pédagogiques et numériques pour transformer l'enseignement des mathématiques au lycée.
MathAData s’inscrit dans une démarche où l’abstraction mathématique émerge de la manipulation et l’expérimentation numérique, en analyse, statistiques, géométrie, probabilité...
MathAData est un programme de la chaire de Sciences des Données du Collège de France, en partenariat avec l’École Normale Supérieure et l’Institut Louis Bachelier, avec le support mécènes public et privés : CNRS, PRAIRIE, CFM...
Rating Reviews
Rating is calculated based on
1
review and is evolving.
Pros: The senior technical leads are solid. They really know their stuff in data science and machine learning. You learn a lot from them directly as a Data Analyst.
Cons: Upper management lacks clear vision sometimes. It's tough to get direct feedback, and there's not much transparency. This affects how projects are prioritized.
Advice to Management: Work on clearer communication and provide more consistent direction. Invest in leadership training for new managers.
Show more
What is the typical work environment like for a Data Scientist at MathAData, especially regarding collaboration?
The work environment at MathAData for Data Scientists is generally collaborative, with teams often working on complex projects using agile methodologies. Expect regular stand-ups and cross-functional team interactions to drive project success in the competitive data analytics space.
FR
