The Data Scientist is the expert in data science or Data Science within an organization. That is, he is the professional who is in charge of extracting and interpreting data to obtain relevant information that helps improve company performance. Next, we are going to see in more detail what his functions are, what skills and knowledge he needs and why he is an increasingly valuable figure within companies.
The figure of the Data Scientist may vary from one company to another. Still, broadly speaking, these are their most notable functions:
Generally, the profiles that companies usually look for in a Data Scientist role are computer or telecommunications engineers. Still, they may also require people trained in statistics, mathematics, economics, business management or with some specialized training. And to work as a Data Scientist it is important to have programming knowledge, analytical skills and business vision. Let’s look in more detail at the technical knowledge and skills that are usually required.
1. Programming: Be proficient in programming languages such as Python, R or SQL to manipulate databases, implement automated learning systems, do integrations with applications and websites, perform statistical analysis, etc.
2. Statistics and Mathematics – This provides:
Some of the statistical techniques that are usually asked of a Data Scientist are data modelling, clustering and predictive analysis.
3. Databases: knowing how to extract and manage large amounts of data and cross-reference them with other sources of information.
4. Machine Learning and Deep Learning: Generally, the Data Scientist is usually asked to understand, master and know how to develop algorithms and models that allow computers to learn patterns from data, perform tasks and solve complex problems.
5. Big Data: Be familiar with tools such asHadooporSpark, which allows for handling large volumes of data.
6. Privacy and data processing regulations: Be aware of the ethical implications and regulations related to data management and protection.
In addition to all this, the Data Scientist must also be able to identify and improve processes to be more efficient and obtain higher quality data, as well as collaborate with other teams such as business analysts or developers. To do this, it is also necessary to have the following skills or soft skills:
The Data Science profile is one of the most in-demand by companies currently since it can provide a lot of value in making tactical decisions and help focus marketing and sales strategies, among others. These are some of the reasons why organizations need the figure of the data scientist:
Currently, there are a multitude of training offers to become a Data Scientist, from university degrees, postgraduate degrees and master’s degrees to specialized courses and certifications.
The growing need for companies to collect, manage and interpret data makes this figure decisive for decision-making. That is why they usually incorporate it into their templates or have partners who offer them this service, as we do at Cyberclick, where we have a team specialized in data science that can help you identify trends, risks and opportunities, as well as improve your marketing strategies and boost your results.
Also Read: Real-Time Data in Business Agility
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