The advent of rising digitalization has made a career in IT a fascinating and interesting one. However, more competition in the field of IT pressurizes on the software career aspirants to be upfront with the latest technology for survival. On the other hand, the pace at which data is being generated demands more data scientist and data science jobs are now regarded as one of the highest-paid jobs all over the globe.
The foremost responsibility of data scientist is business analytics followed by constructing data and software products using algorithms. The demand for a data scientist is impulsive due to the shortage of skilled people for both start-ups and corporates. Global companies are hunting for professional data scientists to up their game in this competitive world.
The approach of data scientist and software developer
According to a report, there are about 2.5 quintillion bytes of data are being produced every day and the number is expected to increase by many folds in the future. So to use and organize data which is either in a structured or unstructured form a data scientist becomes essential and can master the art with the right Data Science Training. Hence, there is a need for data scientist which is a highly-ranking profession which demands rigorous training and experience.
Software developers collaborate with computer programmers for testing the convenience of using a software program. The component that powers the digital systems is software which is the core element of computers. To be precise software engineering can be termed as the application of engineering principles for designing, structuring, developing and implementing software. An efficient software developer understands the client’s needs and then designs appropriately, tests and then develops the software as a solution to clients needs.
Prominent tools used in both the career options
Data science career aspirants should be knowledgeable about statistics, software programming and analytical thinking to be productive. A data scientist should have the urge to learn more and be updated about new programming languages like Python, Swift and Ruby apart from mastering SQL, Spark, machine learning and Hadoop.
Apart from at least a bachelor degree in computer science, a software developer needs to be equipped with the latest programming languages. Good insights about computer programming by understanding the functionality of new tools is a plus. Amidst various skills, a software developer should possess to flourish in the field of analytical skills, attention to detail, creativity, problem-solving techniques, and interpersonal skills are vital.
Gauging the pay scale for data scientist and software developer
A report from Payscale.com reveals that the median salary for a data scientist is around 6,00,000. It is not much different in the US according to a survey by Glassdoor the median salary for a data scientist is $91470 which is commendable.
Currently, the median salary for software developers is $1,00,80 and the growth in employing software developers is set to increase by 24% in a decade. An estimate states that there are 3.7 billion mobile users in the world which demands newer and better applications for smartphones and tablets thereby, creating demand for software developers globally.
Roles and job titles for a career in data science and software development
A few important job titles that a data scientist can don are Data architect, data scientist, business analyst, data administrator, and business intelligent manager. Global companies who are flourishing in the digital world like Facebook, Twitter, IBM, and Apple are racing with each other for hiring the best data scientists. So, the demand for a data scientist is expected to grow exponentially.
Some of the interesting careers options that connect to software developers are Computer programmers, computer system analysts, web developers, computer network architects, and computer hardware engineers to name a few. Though data scientist is a relatively newer concept than software developer it is gaining momentum rapidly and is expected to continue the same for the foreseen future.
Data science and the millennials are quite interconnected for this generation of people were grown up in the period were technology started to bloom. So, the internet and mobile technology grew simultaneously with this generation. The rise in demand for data scientist across the globe has created a skills gap. If you are eager to learn new tools about efficient data handling you can grab a chance to flourish as a data scientist in the long run.
If your interest match with the level of the creative aspect of software firms in developing software for a widespread use then being a software developer should be your priority. The amount of data that is being produced every day is at a staggering range which signifies a long term growth and attractive salary awaits a talented data scientist.
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