Data Scientist job description

Are you interested in analysis and are you passionate about the world of data? Discover the job of Data Scientist here! 

Are you a mathematician and have a rigorous mind? Do you like analysis and are you passionate about data ? The Big Data professions are made for you. 

In this article, we’ll tell you everything you need to know about the Data Scientist job. 

The emergence of Big Data professions

With the exponential development of digital technologies, the volume of data continues to explode. Companies must therefore be in possession of a huge mass of data stored in their database. 

This data concerns their customers, products, finance and accounting departments, among others. 

But as it is, the raw data has little value and remains unusable. To turn it into a real source of value creation, companies need to collect, analyse, structure, categorise and transform it into useful information. Once analysed, the data is used by business leaders to improve their decision making and thus maximise their production strategy and ultimately see their turnover increase. 

This is why, over the last few decades, new study programmes have been created with the aim of creating professions whose mission is to manage and process data.  

Among these new professions, we find the Data Analyst, the Data Scientist, Data Engineer, Data Manager, Data Miner, Chief Data Officer, etc. 

What is the role of the Data Scientist? 

The Data Scientist works upstream of the Data Analyst. While the latter works on data that has already been extracted and arranged, the Data Scientist has to deal with colossal volumes of raw data, with no structure, no apparent logic, and totally disordered. The Data Scientist’s mission is precisely to model this shapeless mass of data, and to extract from it those that are potentially sources of information. 

The Data Scientist therefore works with extremely large volumes of data. To do this, they must master complex IT tools, develop very advanced algorithms and use mathematics and statistics. 

The Data Scientist also analyses the data to determine whether it is relevant to and within the company’s production cycle. He or she must develop predictive models in order to anticipate the evolution of data and trends related to the company’s activity. It is also up to the Data Scientists to build algorithms capable of improving data processing and targeting. Finally, they are responsible for transforming the data into accessible and readable information to present to the company’s managers in order to help them in their decision-making. 

The skills of the Data Scientist 

Data Scientist must be passionate about analysis. They must be rigorous and have an interest in mathematics.  

He or she must be proficient in computer programming such as Java, C++, etc. Data Scientists are experts in data management and algorithms (NoSQL, Cassandra, etc.) They have a very good knowledge of data structures and their architecture. They are specialists in statistics and must also have business skills. 

How to become a Data Scientist? 

Students must at least have a Master’s degree or professional experience. The most common fields of study are mathematics and statistics, computer science and engineering.  

Data ScienceTech Institute offers the Applied MSc in Data Science & Artificial intelligence (800 hours) on a full-time basis, including 9 months of classes and 5 to 6 months of internship. Students have the possibility of following the programme on-campus, on the Sophia-Antipolis or Paris campus, online or at their own pace (SPOC mode). Classes are delivered entirely in English and are designed to open up career opportunities in Data Science and Artificial Intelligence. 

This programme specialises in applied mathematics and is taught by an outstanding faculty from both the academic and industrial worlds. The objective is to give students a deeper understanding of the scientific and technical aspects of Artificial Intelligence. 

The full-time programme (5h/day on average) include various applied projects and a 5 to 6-month internship.

In the Applied MSc programme, you will learn how to:  

  • Develop your knowledge of mathematics applied to data science and artificial intelligence
  • Immerse yourself in the heart of algorithms of artificial intelligence
  • Use your scientific skills to assist in the analysis, design, implementation, and surveillance of IT and big data architecture. 
  • Combine science and technology in application courses and projects that relate to the world of data science in business. 
  • Learn about IT project management and the legal and ethical implications of data processing. 

The salary of a Data Scientist 

As they are highly valued by companies, Big Data jobs are highly paid. It’s the case for a Data Scientist job.

Junior Data Scientist generally earns a salary of €4,500 per month. A Senior Data Scientist can earn up to €10,000 per month. 

Chief Data Scientist can earn up to €15,000 per month, or €180,000 per year.