In addition to selecting and analyzing the most relevant data in terms of the production, sales and customer data cycle, the data scientist's mission is to model them in a way that is intelligible to all the company's employees.
The data scientist is also in charge of building algorithms and predictive models to anticipate the evolution of trends related to your activity, including machine learning and artificial intelligence.
This still recent function, sometimes called "data miner", requires an excellent level of computer science and marketing analysis, with the best profiles having followed a higher education in engineering school or having obtained masters or even doctorate degrees in mathematics, computer science, statistics or data modeling.
Ideally, a data scientist will have several years of experience as a data analyst or in an environment with large data structures (big data). In terms of skills, a good data scientist should have a solid mastery of machine learning algorithms, data management tools (SAS, Python, Access, etc.) and web statistics analysis (Omniture, Google Analytics, etc.) as well as databases (SQL, NoSQL, Cassandra, etc.).
In addition to an excellent command of English and a solid knowledge of marketing, the best candidates will demonstrate good listening and communication skills as well as an innate business sense in order to detect market opportunities representing future growth levers for the company.
Wondering how to find the next digital talent to boost your data project?
Entrust this challenge to UNE®, and you will have the expertise of a team whose mission is to find, select and convince THE data scientist you need to integrate your organization.