Highest Paying Companies for Data Scientist

In this post look at some of the highest paying companies for Data Scientist.A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.

These are some of the top paying companies for data scientist-

Amazon

Microsoft

IBM

Google

So there you have the big names in data science, but if you’re planning to start your career at one of them, I would rather suggest you to drop the big names like ones given above and rather concentrate on smaller companies and startups. The reason why I am saying this is that big product based companies look for a lot when it comes to hiring their data scientist.

Apart from skills and technological know how you need to have a lot of experience working as a data scientist over the trending technologies. I do not mean to demotivate you but it would be extremely difficult to get placed at one of them. So, I would rather suggest you to aim for smaller companies and startups like-

Zomato

Karvy Analytics

Mu Sigma

Social Cops

MobiKwik

These are few among the popular startups that hire data scientist at good salaries. Apart from these, there are some leading product based companies like Zoho, Freshdesk, Wingify, Haptik, etc. that can offer a great start to you data science career.

So, how can one get into these companies as a fresh data scientist?

Although these are smaller companies and startups, but getting hired at them too would not be too easy. In fact, some of these companies have quite strict hiring practices. But such companies provide good learning exposure, culture, growth opportunities and decent salary packages. To be precise, the starting salary package for fresh data scientist at such companies is 7 L.P.A and above. So, what do these companies seek in their data scientists?

To get hired at one of these companies as a data scientist, you need to have strong logical and analytical skills, reasoning abilities, and of course decent soft skills. Apart from these skills, you need to have the a great hold over the tools and technologies that are being used currently in data science.

So, what are those tool and technologies that you should know?

Basic knowledge of Statistics and Statistical analysis

R & Python

In depth knowledge of machine learning algorithms like Logistics regression, Linear Regression, etc.

Knowing tools like Rapid Miner, Map Reduce and Tableau would be an added advantage for you. Also, learn data cleaning, data mining, Visualization and deployment so as to get placed at a good job in data science.

Once you have learned them all, move on to working on projects. But why?

As you already know, good product based companies and startups usually prefer to hire experienced professionals. This way they can be sure of the competency of the candidate. But being a fresher it might be difficult for to get hired.

The best thing that can prove your skills and competency at this point is-Projects. Pick up a lot of challenging real data projects and build a strong portfolio through them. Remember, the better portfolio you have, the higher number of good opportunities you would get. For this, you can pick up real data projects from platforms like Kaggle, etc. Here, you would get to work on public data sets. Summing this up, for getting a good paying job, follow this approach-

Acquire the skills in relevant tools and technologies that are used by good product based companies

Start working on projects and build a strong portfolio using them

Start applying for jobs at smaller product based companies and startups like Zomato Karvy Analytics, Mu Sigma, Social Cops, MobiKwik, etc and eventually get placed.

Also, once you get placed at one of such companies, gain a few years of experience and you can always make a switch to a better product based company.

Did you know that data scientist with 5 years of experience are getting as high as 75 Lakhs per annum currently? So, no doubt you do have great earning opportunities in this field.

If you are yet to start learning these tools and technologies, here are a few platforms that you can use-

Edureka - Here, you would get to learn data science skills and tools through pre-recorded video lectures. You also get certificates here but if your goal is to get placed at a good paying job, I am not sure whether this platform would help you or not.

Simplilearn - Here, too you would get skill learning courses and certifications but let me tell you good product based companies look out for candidates having a good knowledge and hands on experience/practical exposure rather than meagre certifications.

edWisor - Here, you would get to acquire skills and technological know how through a specifically curated career path in Data Science. You would also get to work on real data projects here and also get job assurance that I don’t think any other platform provides. A lot of product based startups and companies hire their data scientist from here on the basis of projects individuals do here.