Top tech companies are extensively looking for people with expertise in skills such as data science. The latest report states that most IT professionals will need to upgrade their skill-set to be able to cope up with the in-demand technologies. A data scientist’s job has not only grown sexier but more and more employers are now looking hire professionals with skills that can crunch numbers. And the salary compensation offered to data scientist remains at the sexiest level, and this is also due to the shortage of skills.
According to the U.S. Bureau of Labor Statistics, the reports states that the rise of data science needs will create 11.5 million job openings by 2026.
Not only the demand will be huge but there will be a dearth in data science talent. After all, the hype of data scientists has been in for quite some time now, and fresher graduates along with professionals from the IT domain are re-skilling to stay relevant in the IT industry.
What is Data Science?
Data science continues as one of the most promising careers in today’s job market. A data science professional must have the knack for coding and should be exceptionally great with numbers. As a data scientist, you will need to gather and analyze data. Almost 90% of the data scientists are said to have spent their time cleaning data.
An effective data scientist collects a huge amount of structured and unstructured data from different resources, analyze the data, clean it, translate the data into solutions and communicate their findings in such a way where it benefits the company and their businesses.
As data keeps generating, businesses are getting more data-centric and the decision-making power of algorithms are now openly welcome in different enterprises of all sizes. With the rise of technologies such as AI and machine learning, the role of data scientists just gets better day by day.
It’s an exciting data science career choice for someone who loves to play with numbers. But what are the potential job roles that one can opt for after taking up data science? Let us look at the promising data science careers today:
- Data Scientists
A data scientist is one with all the skills “jack of all trades” they are responsible for designing, implementing processes that are used for data modeling, data mining and research purposes. The skills required are programming languages in statistics, mathematics, R and Python programming, machine learning, data visualization, predictive modeling, and databases.
- Data Engineer
If there’s someone you need to give credit behind the design, construction, implementation and maintenance of highly scalable data management for data science projects then the data engineers are to be given all the credit. The skills required are knowledge in database management tools such as SQL and NoSQL, data API, data warehousing, data integration, and data modeling tools.
- Data Architect
A data architect develops database solutions to store and retrieve the company’s information. The main objective of the architect is to ensure the entire data environment is stable, it is available, and secure. The skills required for such job roles include solid knowledge in programming tools such as Hive, Spark, and databases such as SQL and extensive knowledge in database architecture.
- Business Intelligence Developer
- Machine Learning Engineer
A machine learning engineer focuses towards software development methodology, agile practices, a full range of tools used by modern software developers. The skills required are probability and statistics, data modeling and evaluation, machine learning algorithms, software engineering, and system design etc.
These are some of the most promising data science careers one can settle on to stay future ready. Data science professionals are needed by most organizations since they are becoming data-centric. However, to break into these lucrative and sought after job roles, one must upgrade themselves with the latest technologies.
Additionally, with more and more professionals focusing on upgrading themselves for new-age job roles, the education, training, and language sector registered a significant uptick this 2019 as well.