How To Get Data Scientist Job

Hey Guys, I'm going to talk about  What is a data scientist? And How to Get Data Scientist Job in a great company? And finally, I’m going to talk about What is data science salary? So I will always suggest people, the first company when they're looking for the data scientist job, They should look the domain that he was working on their own domain and then you can pitch yourself as a candidate that no one else has. 

Another thing, I always say that if you can get a project in your company itself a smooth transition for you.   So, what is data science?   What data science comprises of?  You should be a good statistician. You should have a good knowledge of statistics. You should be good at machine learning. You can build good models that can learn from the data and a guy who can do everything is a data scientist. In my definition, a palmist who looks at your hand and tells your future by seeing the lines on your hand then he is also a data scientist.

How to Get Data Scientist Job

So, Basically, someone who can learn from any type of data that can be image data, text data, or any pictorial data that is a data scientist. So, in data science, a lot of companies hire with different designations. Some people call it a data scientist, somebody will call it a machine learning engineer, others call it a data analyst.

 More or less these designations are the same. There's a slight difference in all the job roles. Other than that, taking data science space as a whole. We have deep learning experts, in deep learning also we have experts in NLP(Natural Language Processing) and we have experts in computer vision. So when we look for a data scientist, it depends mostly on the job profile that they're looking for.

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 But as a bare minimum company always looks that one should have good programming skills. It can be in python, it can be java or any other language and you should be good at making algorithms.

The Companies also search for someone who features a good mathematical background, you'll understand papers. If somebody gave you a search paper to read are you able to read those papers? So that is the reason we'd like an individual who knows a touch little bit of probability and statistics. and eventually, he should be knowing the basics of machine learning algorithms. we do not need experts in machine learning algorithms just someone who can understand how these machine learning algorithms are working.

 So, basically, an individual who likes to think, who doesn't want spoon-feeding then the info scientist is for him or her because there you've got to think, you've got to possess data and you've got to work it out your own way that how can they get information out from the info using the algorithms or using the explanatory analysis. so, this is often all about data science. So, now we've thought of knowledge science, we have a thought on what other job roles we've in data science.

The question is how to apply for the data scientists’ job? And most of the people who want to transition from their own field to the data science field. If somebody is starting from scratch as a fresher he can directly get in since the company can recruit him on-campus or off-campus. Now if you are transiting from one field to another field the issue comes why a company would hire you. 

What you have additional to offer that others don’t have. Then, you have to bring out your domain expertise in your field and your data science knowledge. So when I started my career I was an electrical engineer, I loved Electric Engineering and I started learning data science and I went into a Data Scientist role, what I told various companies that since I am having expertise in my field and I also have an expertise of data science which I can apply together that others can not do.

How to Get Data Scientist Job

So, I will always suggest people that the first company when they're looking for the data scientist job, one should look at the domain that he/she is working on so that you can pitch yourself as a candidate that you have the expertise that no one else has. Another thing, I always say that if you can get a project in your company itself then it can help you in a smooth transition. 

For instance, if you are not getting a projection your company then you have to build your programming skills very strong, you have to work on some of the projects like Kaggle competition or maybe as a part of some courses and then you can bring your potential on the table and companies will love you Finally, while hiring for a data scientist we just look how quickly one can grasp thing whether he is experienced or not because finally, data science is not about applying those models.

 It's more about whether you have a valid experience. So, always try to complete as many projects as you can and that will help you to get a good job in a data science company.

 Finally, let’s talk about the data scientists’salaries. This is a hot topic for today and one thing that I have observed, people are moving into this field because of salary. So, there are three categories of people, the first one is who is starting from scratch.

 I mean they are fresher’s or having 0-5years of experience or some who have like 5 years of experience in other fields and then they want to move to the data science field. Some people who have great domain expertise in their field like they have 10 years of experience and then they are thinking of doing something in the data science space. It's always good to enter this field as early as possible because definitely. 

You will have to compete with the person who is a data scientist for 10 years and you have domain expertise of 10 years in your field then you have 2 years of experience in a data science field and to match that salary it will be little tough but also data scientist salary depends on other factors like which companies you are targeting like there are some big companies big names are there are some startups and also some mid-range companies are there.

 So supported company you're targeting your salary will depend thereon, so you'll 't say that you simply have 5 years of experience so I should get a particular amount of salary but as an entire if you're a fresher or someone with 2-3 year of experience then you'll expect within the range from 10-20 LPA or something like that.

If you're really a bright guy and you're really performing on data structures algorithms and every one the items I'm talking about you can expect little more and if you've got 5-10 year experience it means you're a gem, so you'll expect within the range of 30-40LPA and quite that and that I am talking about 5-10 years experience in data science field if you've got experience in your field then 2-3 years of experience within the data science space then it won’t be 8 years experience within the data science space.

You can expect something compared to someone who is having 4-5 years of experience in data science. And if you have domain expertise in 10 years then you have to build your profile differently and you have to bring something new to the table and if you can do that, then definitely you can earn in a huge amount. So now we know about salary in general range but it also depends on which location the company is hiring you for. 

 So you can expect a good number because of the competition also you get a good amount of salary. basically, salary also depends on other factors for example if you are a fresher, 0-5 years of experience the company looks if you have a basic understanding of things and you can work with the help of a mentor and you can do the project. 

If you have experience 5-10 years than company looks that can you do the project on your own and also whatever the experience you have can you give experience to other colleagues. so they can learn from you and when you have experience of 10 years than the companies assume that you have to lead the whole project and guide your junior and help others in order to bring to that pace where you are.

 So, if you have all these characteristics and your experience lies in this range then you can expect a good amount of salary. So, guys data science is just not about you have to apply on projects, you can also apply in daily life on whatever you love and you can tackle things and you can solve problems using data science.

So I also thought if I can use data science and solve that problem? So, don’t wait to get a project from a company or some other courses, try to think and make it a hobby to use data science to solve any problem. I am telling you that data science has solved lots of problems and lot of interesting problem like you can color black and white images, you can make the old image to new image so try to do those examples and when you will see the wonders of the data science space, you will be interested and then you will see companies will hire you by seeing your Git-hub profile which has all these projects.