A key function that can be found under the names of Dataminer, Engineer Analyst, Data Analyst, Big Data Data Analyst, the Data Scientist crosses the company’s data with those collected on the website and mobile of the business.
Its main objective is to make sense of this data to help the company make decisions on strategic or operational orientations. For example in the design of a new product, the marketing strategy to adopt or the financial orientations to follow.
It creates models and algorithms to collect, store, then process and interpret this data.
It is this work of interpretation that makes all the difference between a Data Scientist and a statistician who is content to collect raw data that cannot be analyzed in the traditional framework of database management.
The good Data Scientist must combine statistical and IT expertise, precise knowledge in database management, and additional experience in the sector of activity to which he/she provides answers.
The two prerequisites are rigor and passion for numbers, without forgetting ethics, which is essential in respecting the rules of confidentiality for anyone who has access to personal and confidential data. The success of his position also depends on his ability to explain and convince, he/she must therefore be an excellent teacher and perfect communicator.
Is the Data Scientist An Essential Profession?
The Data Analyst, whether he carries this title or simply assumes the functions, occupies a preponderant place in a start-up. His analytical skills are the basis of the company’s growth strategy. It provides him with the data that allows him to decide on a marketing strategy, directions or purchase volumes. It is also he/she who draws the profile of customers, decrypts their expectations, etc.
What Do Data Scientists Do?
The Data Scientist implements various tasks, always around data, which range from:
- find relevant sources from which to extract content to make sense of
- translate a business problem into a mathematics / statistics problem to which answers will help to make decisions to solve it
- recommend changes to be made to databases to obtain more relevant data
- design the way data is stored with great attention to security
- And of course, constantly evaluating the data, processing it and making it available to the services of the company.
What Is The Salary Range of Data Scientists?
He/She is most often an engineer, or holder of a university degree, such as a master’s degree in statistics and marketing, computer science, statistics and business intelligence, or economics.
The salary of a beginner Data Scientist with between 1 and 4 years of experience varies between £35K (€40K or $46K) and £40K (€46K or $52K). Then, it reaches between £45K (€46K or $52K) to £55K (€65K or $72K).
He/She can be integrated as an employee of the company or act as a consultant. In either case, he/she reports to the CEO, CIO, Director of Strategic Marketing, or Director of Studies when the company employs one.
Data Scientist, Data Analyst, All The Same?
Data Analyst and Data Scientist are two essential functions in the management and analysis of Big Data. If they both process the data to extract the information intended to help him in his decision-making, unlike the Data Scientist who has a transversal vision, the Data Analyst is generally only interested in one. data source, most of the time, the company’s CRM. The Data Scientist relies on a more global view by crossing and interpreting data from different sources that he has the creativity to bring together.
