Data Scientist
Posted: Thu Dec 05, 2024 7:07 am
The role of this professional is to analyze internal and external data sources within the company and transform them into relevant information, presented in dynamic reports in real time, or by applying artificial intelligence and machine learning algorithms to generate predictions and analyses. In addition to an analytical vision, this professional needs to have a good knowledge of the business. With the large volume of data in companies, in all departments, new digital professions like this are becoming increasingly sought after.
The role of this professional is to transform data into a useful format for analysis. Companies and applications have a wealth of data to be used, but it needs to be prepared and processed so that it can be used by other, less technical areas. In new digital professions like this one, you need to have excellent knowledge of databases, programming, and server structure.
This professional must have knowledge of network infrastructure, systems and security, taiwan number data whether traditional or cloud-based. They must also have knowledge of business and have a strong knack for building relationships with people, since in most companies where they work, they will end up supporting the sales department in defending technological solutions to potential clients. This is one of those new digital professions with a generalist profile.
One of the new digital professions in the data science field is to delve into machine learning. This professional is involved in model building and statistics, but is more focused on the predictive aspect.
It is usually related to Decision Trees, Random Forests, Linear Regression and Machine Learning algorithms.
he role of this professional is to code games using specific languages and frameworks for different platforms such as consoles, desktop, web and mobile. In addition to enjoying the gaming area, this professional needs in-depth programming skills and mathematical and physical concepts.
The role of this professional is to maintain data security across the company's various applications and systems. With increasing concerns about data security, this professional is becoming increasingly important.
He or she must perform the architecture and maintenance of internal data. He or she must have excellent knowledge of IT, data engineering, and law.
The role of this professional is to transform data into a useful format for analysis. Companies and applications have a wealth of data to be used, but it needs to be prepared and processed so that it can be used by other, less technical areas. In new digital professions like this one, you need to have excellent knowledge of databases, programming, and server structure.
This professional must have knowledge of network infrastructure, systems and security, taiwan number data whether traditional or cloud-based. They must also have knowledge of business and have a strong knack for building relationships with people, since in most companies where they work, they will end up supporting the sales department in defending technological solutions to potential clients. This is one of those new digital professions with a generalist profile.
One of the new digital professions in the data science field is to delve into machine learning. This professional is involved in model building and statistics, but is more focused on the predictive aspect.
It is usually related to Decision Trees, Random Forests, Linear Regression and Machine Learning algorithms.
he role of this professional is to code games using specific languages and frameworks for different platforms such as consoles, desktop, web and mobile. In addition to enjoying the gaming area, this professional needs in-depth programming skills and mathematical and physical concepts.
The role of this professional is to maintain data security across the company's various applications and systems. With increasing concerns about data security, this professional is becoming increasingly important.
He or she must perform the architecture and maintenance of internal data. He or she must have excellent knowledge of IT, data engineering, and law.