It’s all fancy when you think about scientists. You imagine a man/woman in their lab coat, big round spectacles, measuring chemicals in test tubes and creating god knows what but it looks pretty amazing.
But this actually isn’t what every scientist does. Talking particularly about data scientist jobs today, they haven’t anything even remote to do with test tubes.
Well, you might know that already if you are in a similar field but still what they actually do is not something everyone can figure out easily.
So, let’s take this virtual tour on what a day in the life of a Data Scientist looks like.
Surely, not all data scientists have the same role to play. But knowing their job by and large can help you decide whether you want to pursue a data scientist course or divert to some other field.
Data scientists have different projects to work on. So, taking up one project a day and let’s say the new day starts @9 a.m. with a new project, here’s how an estimated timetable of their typical job day:
9 a.m. to 10 a.m. Project Identification
A data scientist starts their day by identifying the project and its requirements. There are certain things that need to be noted including the course of research to be followed, the risks involved, and the motive behind conducting the research.
This helps them to continue with their job smoothly and researching only the facts which are of benefit to the client (hence saving time and resources).
10 a.m. to 1p.m. Research & Development
Now the primary job starts. Most of the time of a data scientist is spent in research and development. They research the existing findings and develop products accordingly.
Data scientist jobs require data analysis based on mathematical findings, algorithms, and analytical data collected from various sources. Social media forms a big chunk of these sources.
1p.m. to 2p.m. Lunch Break
Because scientists need breaks too.
2p.m. to 3p.m. Inter-department discussions
Discussing projects, research methodologies, and findings are an integral part of any research job. No research is self-verified. So, scientists have this in their regular schedule to meet up with other scientists from various departments (and even institutions) and involve in a discourse over their work.
It also helps in building professional relationships by initiating conversations. The meetings are also from the point of view of company sales, operations, and taking up of new projects.
3 p.m. to 4 p.m. Research
And the research continues.
4p.m. to 6p.m. Analysis & Results
The end result of a data scientist’s job in private companies is of importance to the concerned client(s). Therefore, the research conducted is summarized and analyzed to the benefit of the clients. The results are then used to develop or expand the products that the company or client deals in. The results also help the client in identifying potential customers and targeting them to sell their products.
So, the day of a data scientist ends by sending out the reports to the concerned clients and wait for any queries to come up from the other side, which can take up to weeks or months as per the contract.
Data scientist jobs are therefore fundamentally about researching how collected data can be helpful to clients and companies for increasing their business. It surely doesn’t sound like building up a spacecraft or discovering a new magical chemical, but in the contemporary data-driven world, it is no less!