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 do you train to practice this profession? Discover all the answers to your questions about the future of data science.
In 2011, Harvard Business Review described the data scientist profession as » The sexiest job of the 21st century ” (sexiest job of the 21st century). Since then, this key role of data science has been in the spotlight.
That Companies are hiring data scientists, and many people want to practice this profession. Since that time, however, water has flowed under the bridges.
At the beginning of 2022, Is the job of data scientist 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 algorithmsto 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, data science is now being used by many companies from all sectors. This practice has simply become essential to staying competitive in the face of competition.
the Data Scientist is one of the main roles 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 in the business, the data scientist determines how to use data to solve it. It creates a hypothesis and collects the data needed to carry out the project. He then performs its analysis and models the data, and provides its model. At the end of the analysis, he presents his findings to the decision-makers in business in the form of visualizations such as graphics or diagrams.
The data scientist is not the only role of data science. He cooperates with the other experts in his team, such as the data analyst or the data engineer.
What are the characteristics of the data scientist?
Like many people, the data scientist profession is probably appealing to you. However, it should be ensured that this profession matches your personality and your ambitions.
A data scientist is first and foremost a human being Passion for numbers and mathematics. This expert is drawn to statistics and probabilities and focuses on problem solving.
He is endowed with a natural curiosityShe questions and likes to challenge. Likewise, this specialist must be able to conduct thorough research in order to discover all the secrets hidden in the data.
Finally, the data scientist is gifted with a Talent for communication and storytelling. This allows him to share the results of his work with the non-technical profiles of the organization in the form of relevant and understandable visualizations.
What skills are required to become a data scientist in 2022?
Data scientists are in high demand in business Demand still far exceeds supply. However, the number of specialists is increasing and the competition for the best positions is increasing. It is now a matter of mastering a broad portfolio of skills.
First of all, the professional needs to know how to use it the most important tools of data science. In particular, he must know 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 various data mining techniques hold just as few secrets for him as the statistics. The expert is also familiar with big data tools such as Spark, Hadoop, MongoDB and BigQuery. He also knows how to use SQL, the database manipulation language. The data scientist also works differently Data visualization tools and techniques like Tableau and ToucanToco, Looker or Matplotlib.
Machine learning is another important part of this profession, especially for analyzing unstructured data. The expert knows the most important algorithms and knows when and how to use them to fulfill his mission. Frameworks like TensorFlow, PyTorch and Keras are increasingly used. He is also proficient in feature engineering and knows how to work with text and image data.
Data scientists are now often prompted to exploit Artificial intelligence technologies such as deep learning and computer vision or natural language processing. These techniques must therefore be mastered at the touch of a button.
After all, it is no longer enough to develop data science models. The data scientist must be able to do this Provide these templates and put into production.
What is the salary of a data scientist?
To surround themselves with the best data scientists, companies are willing to bid stunning salaries. Not least because of this, this profession is considered one of the most attractive of this decade.
in the France, the average salary of a data scientist amounts to €45,137 per year according to Glassdoor. It varies between 36,000 euros and 60,000 euros for the best-paid profiles. With a few years of experience, the pay can quickly add up.
This career choice is also an option the opportunity to travel and live abroad, as data science is used by companies around the world. In Europe, salaries are similar in Germany (€55,000 per year) and England (€58,000 per year). On the other hand, if you dream of the Spanish sun, you should know that the average salary of a data scientist drops to €34,000 per year.
In the United States, the average data scientist makes $117,212 per year. That is one of the countries where compensation peaksbut it should be noted that the cost of living is also more important.
sure, Salary offered depends on experience, the company, its industry and the level of responsibility of the position. It is therefore important to check the vacancies to choose the right one for you.
Vacancies for Data Scientists
According to the US Bureau of Labor and Statistics (BLS), the number of open positions for data scientists varies increase by 15% between 2019 and 2029. In all sectors, companies are looking for qualified specialists.
This also applies the largest organizations in the world like Google, Microsoft or Amazon as small companies. A prospective data scientist can thus start his career in the industry of his choice.
trends for the future
the The data scientist profession has evolved over the years. What are the expected changes, the future trends?
First we participate the rise of the citizen data scientist . Access to data science tools has become easier and algorithms are ready for a variety of specific applications. Turnkey solutions are increasing and automation is also on the rise.
As such, data science is no longer reserved for the most tech-savvy profiles and machine learning experts. It is becoming more democratic and gradually opening up to the different roles of the company. Predictive data analysis is accessible to everyone, and data scientists can focus on more complex tasks.
At the same time we can expect a specialization of data scientists. To be successful, professionals may choose to focus their efforts on a specific area of activity or technique. For example, the areas of cybersecurity or health and machine learning or data visualization techniques.
Data scientists go too get closer to their business and their industries. This will allow more relevant questions to be asked of the data and a better understanding of the issues and goals.
Finally we can anticipate a multiplication of data sources. Digital technologies are evolving and generating ever larger amounts of data. The data scientist will be able to draw on these resources, but must also learn to better select the data to be used.
How do you become a data scientist?
There are different methods to become a data scientist. You can opt for a classic university degree or for Bootcamp style online training intensive in order to acquire skills very quickly.
If you are already employed, there are also training courses. This type of program allows you to learn the trade while continuing to work. At the end of the course, you can bring new know-how to your company or be retrained as a data scientist.
In France, for example, Dauphine Executive Education offers Executive Masters in Statistics & Big Data training. This course provides training on managing large amounts of data and more specifically on becoming a data scientist. This is a specific training designed for professionalswith a bachelor’s degree in mathematics or equivalent at bac+3 level.
The program consists of 300 hours of instruction spread over 17 months and divided into three modules. Classes are held every Tuesday evening from 6pm to 9pm and one full Thursday per month. Ahead of the next academic year scheduled for February 2022, you can discover this training during the Information event on November 9, 2021. It will take place at 6:30 p.m. at the University of Paris Dauphine-PSL.