What’s the difference between a data scientist and a data engineer?

With the growing awareness of the importance of Big Data, several new professions have emerged in recent years. Data scientists and data engineers are among the most coveted positions in the corporate world. For future students, these two jobs can be confusing, both in terms of missions and training. Follow this comprehensive guide to their differences and discover their respective roles and missions.

In summary:

• The real distinction between Data Scientist and Data Engineer concerns first and foremost their respective roles.
• The Data Scientist transforms data into useful information, with a focus on Machine Learning.
• The Data Engineer focuses on creating the data architecture.
• There are also differences in the tools used and the nature of the data manipulated.
• ECE offers training courses for these two professions, covering various levels of study.

What does a data scientist do?

The fundamental role of the Data Scientist is to harness data and transform it into useful information. It relies on Machine Learning practices to detect patterns and build data models. His training provides him with the analytical skills needed to interpret and model complex data.

Its missions range from data collection, through cleaning and modeling, to model deployment.

In addition to his or her technical skills, this expert must have a thorough understanding of the business sector and the market. This enables him to translate analyses into strategic recommendations.

The Data Scientistmust also have good business knowledge and communication skills. This will make it easier to communicate results, understand conclusions and make decisions.

H2: What are the tasks of a data engineer?

The data engineer is responsible for creating the data architecture. It focuses on system design and management. These are necessary for large-scale data storage and processing. Its missions include :

• test execution ;
• development of the system according to requirements ;
• data flow organization ;
• creating the appropriate data architecture;

This expert plays an essential role in the decision-making chain. His work facilitates Data Scientist missions.

What are the main differences between a data scientist and a data engineer?

Data engineers and data scientists are data experts with a solid grounding in computer science. They may follow the same training, but specialization is required. These professions are complementary, but have their own specificities.

The main difference lies in the tools used. The data scientist masters languages such as SPSS, Python, R, SAS and statistical programs. Conversely, data engineers focus on software such as SAP, Oracle, Cassandra, MySQL, Hive or Sqoop. These enable him to model data and build reliable architectures.

Their missions differ according to the nature of the data. A Data Engineer manages raw data and looks for malfunctions in order to make improvements.

On the other hand, Data Scientists work with previously manipulated data. It explores information to uncover relevant insights.

How much do data scientists and data engineers earn?

A data scientist earns around 32,400 euros a year at the start of his or her career. With experience, they can earn up to 55,000 euros a year, or even more. The salary of a Data Engineer ranges from €40,000 to €60,000 per year.

Their remuneration packages are quite similar. For both Data Scientists and Data Engineers, the gains vary according to specialization and sector of activity.

How to become a data scientist or data engineer at ECE?

Our ECE engineering school offers various courses in the field of data. Programs cover all levels of study, from bac +3 to bac +5. When you join ECE, you can choose between a Bachelor’s degree, an engineering program and two MSCs:

• the Data & Artificial Intelligence Developer bachelor’s degree: accessible from the 3ᵉ year, this one-year course offers an initial or work-study rhythm. You’ll benefit from comprehensive training in digital marketing and the science of data analysis. This bachelor’s degree prepares students for a career as a data scientist;
• Data & AI major: this is a Grande Ecole program that introduces you to the Data scientist and Data engineer professions. The 2-year course is open to students in year 4ᵉ. It covers modules focusing on massive data processing and analytical applications;
• MSc Data Management & Artificial Intelligence: this course provides both technical and managerial skills. It trains you to master data collection and analysis for strategic decision-making. During the two years of study, you will cover topics on artificial intelligence technologies. This program is dedicated to future data scientists, data analysts, chief data officers and data managers;
• MSc Data engineer: a comprehensive 2-year course covering data processing and the development of AI solutions. You are studying the use of artificial intelligence to meet business needs. This program prepares you for the professions of Data engineer, Data analyst, AI Project Manager, AI Consultant or AI Developer. Entry level is MSc 1ʳᵉ year or MSc 2ᵉ year.

Updated 31 May 2024