Senior Data Scientist
KEY EXPECTED ACHIEVEMENTS
Business understanding & Solution implementation
- The business need is understood and formalized in a descriptive datasheet or specifications
- The methods are identified through external researches and selected by their theoretical bases, advantages and drawbacks.
- The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits. The source code is delivered and explained if necessary.
Quality / Capitalization
All stages of Machine learning project are implemented (pipeline, components, tests), respecting quality standardsAll valuable code is re-usabled by communityData Analysis models are monitored (technological watch) and partnerships are developedHealth of the metier
The metier is well supported by the data scientist network with proposals for improvements to develop people, technos, processes.