A comprehensive job outlook report released by Glassdoor in 2016 claimed that data scientists are among the top professionals in demand for the upcoming decade. This claim was backed by a recent Forbes Magazine article which dubbed data scientists as the “sexiest job of the 21st century.”
Since then, the data science domain has progressed enormously and proved both the statement true. Today, data scientists are some of the most well-paid corporate professionals across the world. If you decide to study data science in Berlin or any other business destination in Europe, you would get a high return on investment.
However, you should know what a data scientist does and your reasons for choosing this career path well before you sign up for a data science programme. Let’s take a peek into the job description of an average data scientist and the kind of skills you would need to become a data professional yourself.
What does a data scientist do?
Simply put, the primary responsibility of a data scientist is to assess huge volumes of business or technical data and spot patterns or irregularities in them. Data scientists refine and process structured and unstructured data to develop valuable and actionable insights from them.
Why should you aspire to become a data scientist?
Becoming a data scientist today would mean that you would have no dearth of jobs in any industry of your choice. You also enjoy several other career advantages that are listed below:
- Data science job roles are incredibly engaging and exciting and allow you to explore and use the latest technologies
- Data science careers are often dynamic and tied to industry developments, allowing you to learn new things throughout your career.
- You can earn high compensation packages depending on your qualifications and skillsets.
- You can find a job with almost all major MNCs since they would rely on data science for business decision-making.
- Your data science background can help you hone several transferable skills like communication, critical thinking and logical reasoning.
What are the top skills you need to become a successful data scientist?
Like any other career path, you require a comprehensive suite of technical and soft skills to become a data science professional of repute. Some of these skills include:
- Proficiency in math and statistics
- Technical prowess in data modelling and analytics
- Strong computer coding and programming skills
- Data visualisation skills
- Business acumen and intellectual curiosity
How can you acquire important data scientist skills within a short time?
Acquiring all these skills on your own can take considerable time and effort. Investing in a good data science programme can reduce the time it takes to secure a well-paid data science job.
A data science programme can help you understand the complexities of different machine learning and data analysis algorithms as well as their uses. You also get a first-hand insight into how data analysis occurs in a business setup.
Start your search for appropriate data science programmes around you today to become a successful data scientist.
