“Without data, you are just an average person with an opinion”American statistician Edward Deming said. So the data scientistspecialist in figures and statistics, he gives meaning to data and plays an essential role in the solutions provided to final consumers.
What are the Tasks of the Data Scientist? How much do you earn? Can you become a data scientist without a degree? What skills to succeed in this position? You are part of the future experts data 3.0? Answers in this article.
What is a Data Scientist?
What exactly is a Data Scientist? The Data Scientist (or Data Analyst) is responsible for the collection, management and analysis of data.
Example: while browsing a website, the Internet user accepts the famous ” Cookies”. We remind you that these are the files that the browser installs on your computer to save your browsing preferences, keep it connected from one session to another, offer you personalized content, etc. This information is so numerous that it is called the “Big data“. Your role as Data Scientist is therefore that of to collect, to organize and make this mass of information intended for other company services digestible and usable.
In other words, you help companies do it enhance the data they collect and offer them solutions that respond to concrete problems. To do this, it may be necessary to create tools for monitoring and organizing information. Also provide a technological watch keep on.
What is your role within the company?
Here are three examples of roles you might fill as a Data Scientist:
Example # 1 – in the business. Offer a personalized experience to customers based on their profile. To do this, you develop product recommendation algorithms and try to predict where parts are most likely to be sold in order to optimize logistics and avoid out of stock. Your role may also concern the protection of user data in compliance with the GDPR regulations.
Example # 2 – in Digital Marketing. Your missions are linked to online marketing campaigns, whose impact on consumers you need to analyze to better target future prospects. A mission that consists in knowing how to transform raw data into usable data (Data Cleaning).
Example # 3 – engineering. Here you are solving a problem presented by other departments of the company. You determine the most suitable tools and analysis models to be effective and understandable by all. You can also work on long-term research and development projects.
What are the skills of a good data scientist?
Here are the TOP 10 skills of the (very) good Data Scientist:
1. Have some Intellectual curiosity : being curious is the “transversal skills” which will allow you to master the following 9 skills of this TOP 10 and adapt to the many fields covered by data science.
2. Own a large one analytical mind : You must be able to select the relevant variables to solve your problem, then search and combine them to draw conclusions.
3. Have a solid foundation mathematics : linear algebra, probability, statistics …
4. Mastery computer programming languages : knowing how to program (Python, in particular), understanding how databases work (SQL, no-SQL), cloud platforms, web analysis tools (Google Analytics), Artificial Intelligence, etc.
5. Know the specificity of its sector (banks, e-commerce, finance, medicine, etc.): wherever there is data to be collected, there is room for a Data Scientist. He may therefore be called upon to work in a wide variety of cutting-edge industries throughout his career.
6. Being business oriented : The solutions proposed by data science must answer concrete business problems.
7. Be strict : when it comes to selecting and checking the quality of the data.
8. Collect skills Data engineering : the Data Scientist therefore has a double hat called the Machine Learning Engineer.
9. Master the Data narration : be able to explain the results in a simple and actionable way to professionals who have a different appreciation of the models.
10. Have a good level of Englishto keep you informed of publications and discoveries in the field. What else? (Knowing how to make coffee, or looking like George Clooney, won’t help you become a good Data Scientist)
Know-how and know-how indispensable in carrying out the missions that will be entrusted to you.
How much do you earn?
Here is a fact that speaks to everyone: salary. How much will you earn as a Data Scientist?
Of course, it depends on your level of specialization, your profile, your academic level, your negotiation skills, etc. But the average salary of Data Scientists is around € 45,000 / year. According to Glassdoor, if you are a beginner, count on a salary of € 38,000 / year and as a senior, € 80,000 per year.
How to become a Data Scientist?
It is possible to become a Data Scientist without following a degree online education. A choice that however requires great rigor to master the theory necessary for solving problems. Statistics, probability, algebra and computer programming are disciplines that you will need to understand and make your own.
E2SE Business School offers a specific diploma course in the Data Scientist profession with a specialization in marketing. Namely, BAC + 5: MASTER in Digital Communication and Data Science Manager. Similarly, in E2SE, there are other degree programs related to data science:
• BAC + 2: BTS communication
• BAC + 3: BACHELOR Project Manager E-Business
• BAC + 3: BACHELOR Web Director and Digital Designer
What are the opportunities for the Data Scientist?
Data Scientist: a corporate future. Wherever there is data to collect, store and analyze, there is a place for you. The outlets are numerous and the sectors concerned are faced with a talent shortage. Here are some examples, which they are recruiting:
- Commerce and electronic commerce
- Bancassurance
- Finance
- Engineering (Chief Data Officer (CDO), Big Data Engineer)
- Yield Manager (optimizes the pricing policy of a company and therefore the turnover)
- Database administrator
- Community Director
- IT project manager
- UX / UI designer
In short, here 3 good reasons to train you in Data Science:
1. A job with a future: talent shortage and high demand.
2. A rapidly expanding sector.
3. A profession highlighted in all areas!
Interested in this job? Do you want to join the Data Scientists of tomorrow? Visit the E2SE Business School page to find out more!
E2SE Business School page