Have you just finished your data science course? Now, do you want to test your skills in the real world? The career opportunities are endless in this sector, especially in today’s world where information and data are in the driver’s seat.
While multinationals have won this race, startups are not far behind. Deloitte had 45,112 data science job openings in January 2022. PwC, EY, and Amazon had 30,000-plus job openings. These numbers show the recurring demand for skilled data scientists.
The opportunities in terms of career options are extensive and involve multiple streams. Nevertheless, here are some common roles and responsibilities that as a data scientist you need to fulfill:
Based on these responsibilities, a data science fresher can go into distinct roles. You could become a data analyst, data scientist, business and marketing analyst, machine learning engineer, system administrator and architect or data engineer to name a few.
But the question still prevails, should you opt for a job in an MNC or a startup? The answer is, it depends on your preference. Let’s look at both the advantages and disadvantages of working in an MNC and a startup.
First of all, let us answer the question, why and when a data scientist should opt for a job in a startup? This will be a simple way to assess the pros and cons of working in this type of company.
After quitting this job, you could take up any role of your choice when you go to another company. Working in startups allows great flexibility.
These are some of the pros of working in a startup. Now, we head over to the cons of working as a data scientist in a startup.
In a startup, you might get to learn all the processes involved in the job. But, there are certain limitations as well.
Nevertheless, working in a startup can be a life changing opportunity in various terms. Since you will be a part of a team that will build the business, the exposure is enormous.
You will get a chance to work on different projects and get to explore different avenues of data science as a professional. Additionally, if you can make this work, the weightage it brings to your CV is enormous.
There are certain disadvantages of working as a data scientist in an MNC. Do not be afraid as they are limited in number. The impact is also not high. But, they are unwanted all the same.
Overall, startup or MNC is not a fair question to ask. It has a subjective answer because it depends upon your expectations, priorities, and preferences.
As a fresher, we suggest you get as much experience as possible. This is possible only when you work in a startup. But, after you gain experience, you need to have steady growth in your career. This is where working at an MNC might make more sense.
A comparative analysis of working in a startup versus an MNC presents a mixed bag of results. Clearly, you get to learn more in a startup. This means you will have an enriched experience in this organization. But, the workload could be a nightmare at times.
However, everything is not that bleak because you get to learn more on the job. This aspect should never be ignored because it could result in you building a strong foundation.
But, an MNC could provide you with new explorations which might not be covered by startups. You also get opportunities of working overseas with newer clients. But, if you join an MNC as a fresher, the responsibilities could overwhelm you in the beginning.
Without getting relevant job training, it is extremely difficult to climb the data science corporate ladder. A senior role in data science requires a lot of training around the same responsibilities, we have mentioned earlier in this job.
So, what is the clear cut answer to this question? We would suggest that you should try to get the best of both worlds. A proper roadmap would be that you should get into a startup first. After spending a year or two in the startup, you should try to get a bird’s eye view of the entire career scope in data science.
After that, you should gear yourself for a career shift. Slowly and steadily, work your way through and analyze hard. What do you want in your career? If you feel that an MNC is better than a startup in terms of work-life balance or any other aspect, then you should make your move accordingly. Otherwise, there is always a startup in existence which requires your services.
But to have a good career, you need to enrol in the best data science courses. A professional data science certification course can also help you move ahead in your career. If you do not have the time for a full-time course, choose a good part-time data science online course. The better your data science course is, the better are your job prospects once you graduate from it.
For getting a start as a data scientist, you can enroll yourself in a data science course for beginners from Hero Vired. Notably, Hero Vired is offering one of the best data science courses in India. This course will give you a detailed insight into the data science career. Find out what part of the course grabs your interest.
Work towards mastering the data science skill. After that, think and decide whether you want to go for a full-time course or you want to apply for a job straight away.
You may also like
Carefully gathered content to add value to and expand your knowledge horizons