What is a data scientist in 2022? What is this profession and how has it changed since its inception? What will be the future trends? How to train to practice this profession? Find out all the answers to your questions about the future of data science.
In 2011, Harvard Business Review described the profession of Data Scientist as » the sexiest job of the 21st century ” (the sexiest job of the 21st century). Since then, this key role of data science has been in the spotlight.
He companies capture data scientists, and many people want to pursue this profession. However, since then, the water has flowed under the bridges.
In the morning of 2022, Is the Data Scientist profession still so “sexy”? How has it evolved over the decade? And what trends are emerging for the future?
What is a data scientist?
Data science is about analyze data using algorithms, to extract relevant information. It is then possible to use this information to make better decisions, solve problems, or discover opportunities.
Thanks to the many benefits it brings, today data science is used by many companies from all sectors. This practice has simply become essential to remain competitive in the face of competition.
the Data Scientist is one of the main functions of this discipline. This expert is able to use data to solve an organization’s problems and help it achieve its goals.
After identifying a problem within the enterprise, the Data Scientist determines how to solve it using data. Generate a hypothesis, and collect the data needed to carry out the project. He then performs its analysis, models the data, and deploys its model. At the end of the analysis, it presents its conclusions to those responsible for making business decisions in the form of visualizations such as graphs or diagrams.
The data scientist it is not the only role of data science. Cooperate with other experts on your team, such as the data analyst or data engineer.
What are the qualities of the Data Scientist?
Like many people, you are probably tempted by the profession of Data Scientist. However, it must be guaranteed that this profession match your personality and ambitions.
A Data Scientist is mostly a person passionate about numbers and math. This expert is attracted to statistics and probability, and his mind is focused on problem solving.
He is endowed with a natural curiosity, likes to question and challenge. This specialist must also be able to carry out an in-depth search to discover all the secrets hidden in the data.
Finally, the data scientist is endowed with a talent for communication and storytelling. This allows you to share the results of your work in the form of relevant and understandable visualizations, even with the non-technical profiles of the organization.
What are the skills needed to become a data scientist in 2022?
Data scientists are highly sought after in business and demand still far exceeds supply. However, it increases the number of specialists and increases the competition to access the best positions. It is now necessary to master a wide portfolio of skills.
First of all, the professional must know how to handle the main tools of Data Science. In particular, you should be familiar with the Python programming language and its various libraries such as Pandas, NumPy, Matplotlib and Seaborn. The R and Julia languages are also widely used in data science.
The different data mining techniques are no secret to him, as are the statistics. This expert is also familiar with Big Data tools such as Spark, Hadoop, MongoDB or BigQuery. He also knows how to use SQL, the language of database manipulation. The Data Scientist also manages different ones Data visualization tools and techniques such as Tableau and ToucanToco, Looker or Matplotlib.
Machine learning is another important component of this profession, especially for the analysis of unstructured data. The expert knows the main algorithms and knows when and how to use them to carry out their mission. Frameworks such as TensorFlow, PyTorch and Keras are increasingly being exploited. He also masters function engineering and knows how to work with text and image data.
Data scientists are often asked to exploit artificial intelligence technologies such as deep learning and computer vision, or natural language processing. Therefore, these techniques must be mastered at your fingertips.
Finally, the development of Data Science models is no longer enough. The data scientist needs to be able to do that deploy these templates and put them into production.
What is Data Scientist’s salary?
To surround themselves with the best Data Scientists, companies are willing to offer staggered salaries. This is one of the reasons why this profession is considered one of the most attractive of this decade.
In France, the average salary of a data scientist amounts to € 45,137 per year according to Glassdoor. It ranges from € 36,000 to € 60,000 for the highest paid profiles. With a few years of experience, pay can increase rapidly.
Choosing this vocation also offers the opportunity to travel and live abroad, as Data Science is exploited by companies around the world. In Europe, salaries are similar in Germany (55,000 euros per year) and in England (58,000 euros per year). On the other hand, if you dream of the Spanish sun, you know that the average salary of a Data Scientist drops to € 34,000 a year.
In the United States, the average data scientist earns $ 117,212 a year. This is one of the countries where remuneration peaksbut it must be borne in mind that the cost of living is also more important.
Of couse, The salary offered depends on the experience, the company, its sector and the level of responsibility of the position. Therefore, it is essential to review the job offers to choose the most suitable one.
Data Scientist Job Opportunities
According to the U.S. Bureau of Labor and Statistics (BLS), the number of job openings for data scientists ranges increase by 15% between 2019 and 2029. In all sectors, companies are looking for qualified professionals.
This is also worrying the largest organizations in the world like Google, Microsoft or Amazon than small businesses. Therefore, a novice Data Scientist can start their career in the field of their choice.
the The Data Scientist profession has evolved over the years. What are the expected changes, future trends?
First, we attend the rise of “Citizen Data Scientist” . Data science tools have become easier to access and algorithms are ready to use them for a wide variety of specific applications. Turnkey solutions are multiplying and automation is also gaining ground.
Therefore, Data Science is no longer reserved only for the most technical and expert profiles in Machine Learning. It is becoming more and more democratic, and is gradually opening up to the different roles of the company. Predictive data analysis is accessible to everyone, and data scientists can do it focus on more complex tasks.
At the same time, we can wait a specialization of Data Scientists. To be successful, professionals can choose to focus their efforts on a specific area of activity or technique. For example, the fields of cybersecurity or health and machine learning or data visualization techniques.
Data scientists go there too get closer to your business and its industries. This will allow you to ask more relevant questions about the data and better understand the issues and goals.
Finally, we can anticipate a multiplication of data sources. Digital technologies continue to develop and generate larger and larger volumes of data. The Data Scientist will be able to take advantage of these resources, but will also need to learn how to better select the data that will be used.
How to become a data scientist?
There are different ways to become a data scientist. You can opt for a traditional university course, or for BootCamp-style online training intensive to acquire skills very quickly.
If you are already a working professional, there is also Continuing Education. These types of programs will allow you to learn the trade while you continue working. At the end of the course, you can bring new knowledge to your company or retrain as a Data Scientist.
In France, Dauphine Executive Education offers, for example, the Executive Master in Statistics & Big Data continuing education. This course offers training in mass data management, and in particular in Data Scientist. This is a specific training designed for working professionalswith a degree + 3 in mathematics or equivalent.
The program consists of 300 hours of classes, spread over 17 months and divided into three modules. Classes are held every Tuesday evening from 6 to 9 pm and one full Thursday a month. Looking ahead to the next academic year scheduled for February 2022, you can discover this training during the briefing on November 9, 2021. It will take place at 6.30 pm at the Paris Dauphine-PSL University.