The Expectations from a Data Scientist of 2019
By Saheli Roy Chowdhuri
‘Data scientist’ is termed as the hottest profile of the 21st century, and this trend will witness an upward trajectory in 2019. This is because many sectors such as ecommerce, retail, social media, and even the sports industry need the power of analytics to succeed in their field. So, if you’re looking to make your mark in big data analytics, 2019 presents itself as the perfect opportunity to go out there and make your mark.
That being said, there are certain expectations that analytics companies have potential data scientists this year. Every year, the requirements change and 2019 is no different. So, to give you an exact idea of what is expected from data enthusiasts to make it big, we’ve compiled a list of expectations for the year. Read on and soak up the knowledge for the win!
Expectation #1: You need to visualize a team game
In 2019, analytics companies expect you to have more than just core analytics skills and techniques. The modern analytics organization is all about teamwork, and as a data scientist, you will be expected to work in harmony with the different verticals of the organization. For example, as a data scientist you will need the know-how of how to work with strategy, product, engineering, and IT divisions in the organization, and understand how your data will impact their working, and what kind of data they will require. This is essential as it will help integrate data analytics into the workings of a company.
Sometimes being the jack of all trades comes in handy. For a data scientist, understand the business side of things. That will help you immensely. A hardy combination of data analysis and business acumen will be very sought after, pegging the individual as a data scientist with an entrepreneurial streak.
Expectation #2: A data scientist must be adaptable
When a data science expert submits his or her analytical insights from a dataset, there is bound to be feedback from the clients, who might require additional information or tweaks to the data. That being said, a data scientist must be able to perform super quick iterations on the projects and must have an intuition about business requirements and the changing economic landscapes. This will allow the data scientist to make quick decisions and conduct data sprints leading to shorter delivery cycles.
Expectation #3: The ability to convert ideas into products
It will be vital for a data scientist not just to perform analytical exercises but create models that generate revenue or save costs for the company.
For example, sometimes a company wants to reduce the volume of offer mails they send to prospective clients.
In that case, a data scientist would have to create a model in which he analyzes all the recipient data and selects the likelihood of highest responders. This will help the company save money immensely.
All in all now is the perfect time for you to go ahead and make your mark in this amazing industry. That being said, a holistic data science training program can help you understand the expectations of a data scientist for the upcoming years. This is where Manipal ProLearn aims to step in and provide several paths of learning and the chance to upskill yourself as a data scientist. Pick courses in Hadoop, Python or data visualization with R this year and watch your career skyrocket.