A Data Scientist is responsible for analysing and structuring data (customer data, product data, etc.) and reporting (via a dashboard, for example). He is a computer specialist and mathematician with business marketing knowledge.
He works with data to analyse and draw conclusions from them.
He is responsible for the quality of the data, which he compiles, models and checks for accuracy. His marketing knowledge enables him to work in a consulting role as he can choose the best segmentation based on the problem at hand and later extract meaning from the data. A Data Scientist shares the numbers and analyses with the departments that need them.
He may also write specifications that can be used to generate additional data as needed.
They have good writing and speaking skills to express their analyses or recommendations. They conduct advanced statistical analyses: data analysis, typologies, traditional complex models (structural equation models with latent variables, Bayes networks, neural networks, trade-off methods, etc.) and modelling geared toward big data, live-stream big data and digital.
They have an excellent command of computer languages and tools and are experts in data analysis techniques and statistical methodologies.
Acces, SQL, SAS
Tableau, R, Python