Tag Archives: Data Scientist

Skill requirements for data Scientist jobs in 2021

For the past few years, the data science job market has been continually evolving and growing all around the world. The business world has also understood the power of data and how it assists the business to better serve customers, boost sales, and keep the business growing. Companies today are very keen to capture data and derive actionable insights from it and they are looking for data scientists to join their teams. As a result, the position of data scientist has emerged as a truly attractive career path option. So, with the right knowledge and skills required for data scientist jobs, any student or a fresher can easily get a data scientist job in 2021

To help you gain a better insight into what the current job market demands, we have listed down the skills required for a data scientist in 2021. 

Top Skills required for Data scientist jobs in 2021:


  1. Education

According to a study conducted by 365 Data Science organization , most of the employers who are hiring data scientists are looking for a bachelor’s degree or higher. Some of them wanted a master’s degree and few of the employers asked for a Ph.D. One striking thing to note in this survey is that a great number of employers who were looking for a data scientist asked no educational requirements. So, as you can see, the skills required for data scientist jobs and education credentials are two different things. Whether you are a computer science grad or a business grad, data science is a field for everyone if you have the right skills required for data scientist jobs. Although education credential appears to be the utmost importance for employers, it all comes down to your data science skills and knowledge at the end of the day. 

  1. Coding skills

The biggest question that comes to everyone’s mind when researching the skills required for a data scientist job is- Do I need to have strong programming skills to get a data scientist job? Technically, the programming skills you require and programming languages you need to know depends on the area of data science that you want to work on. So, you just need to be skilled in one programming language and need to know the basics of the rest. Based on this, you need to learn SQL if your role wants you to manage databases, leaning Java, Python or R helps you in data analytics, modelling, and data visualization. However, Python is the primary computer-language competency organizations expect from an applicant.  

  1. Machine learning and AI

As a data scientist, you must have good mathematical skills, analytical skills, and strong business knowledge. Data science needs the application of skills in different areas of machine learning. This includes neural networks, adversarial learning, reinforcement learning, etc. Studying machine learning techniques such as decision trees, logistic regression, and supervised machine learning makes you stand out from other data scientists. Most students shy away from taking data science courses due to ML and AI, but ML and AI are not as complex as you think. You just need to be clear on the basics to get a data scientist job in 2021, you’ll learn the rest and improve your ML knowledge on the job. 

  1. Business knowledge

Skill requirements for data scientist jobs in 2021 are not all about technical concepts and knowledge- to be a great data scientist, you’ll need a solid understanding of the industry you’re working in, and know what business problems your organization or company is trying to solve. This is why you need to have deep business knowledge and know in-and-out of your business operations so you can direct your efforts in the right direction. 

  1. Communication skills

Communication skills are one of the most crucial skills required for data scientist jobs in 2021. You may be strong on all your technical skills, but communication is what helps you to ace the interview. Your communication skills not only help you clear interviews but also helps your professional career in data science as your role might involve presenting an idea to your superiors, communicating insights to your peers, and such. In fact, companies searching for a data scientist are looking for someone who can clearly and fluently translate their complex technical findings to the marketing or sales team in layman’s terms. 

The demand for data scientists is huge in today’s data-driven world. Top companies all around the world including Apple, Microsoft, Amazon, Walmart, and more are looking for skilled data scientists. So, being clear on the skills required for a data scientist and working towards it is crucial for success. As a premier business school in India, Praxis offers a 9-month full-time postgraduate program in Data Science. With our vast experience in business education, we offer students both the time to understand the complex theory and practice of data science concepts and the guidance from knowledgeable faculty who are available on campus for mentoring. We also have a well-structured campus placement program that ensures interview opportunities with the most significant companies in the field.

9 Must-Have Skills You Need to Become a Data Scientist

This blog by Mirko Krivanek can can be found here.

Usually I tend to criticize this type of articles, but in this case I agree pretty much agree with BurtchWorks, the author of this article, even though the article is more than 6 months old. Note that BurtchWorks is a recruiting firm that recently posted interesting salary surveys for data scientists.

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Below is the skills list they recommend:

Technical Skills: Analytics

1. Education – Data scientists are highly educated – 88% have at least a Master’s degree and 46% have PhDs – and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist. Their most common fields of study are Mathematics and Statistics (32%), followed by Computer Science (19%) and Engineering (16%).

2. SAS and/or R – In-depth knowledge of at least one of these analytical tools, for data science R is generally preferred.

Technical Skills: Computer Science

3. Python Coding – Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++.

4. Hadoop Platform – Although this isn’t always a requirement, it is heavily preferred in many cases. Having experience with Hive or Pig is also a strong selling point. Familiarity with cloud tools such as Amazon S3 can also be beneficial.

5. SQL Database/Coding – Even though NoSQL and Hadoop have become a large component of data science, it is still expected that a candidate will be able to write and execute complex queries in SQL.

6. Unstructured data – It is critical that a data scientist be able to work with unstructured data, whether it is from social media, video feeds or audio.

Non-Technical Skills

7. Intellectual curiosity – No doubt you’ve seen this phrase everywhere lately, especially as it relates to data scientists. Frank Lo describes what it means, and talks about other necessary “soft skills” in his guest blog posted a few months ago.

8. Business acumen – To be a data scientist you’ll need a solid understanding of the industry you’re working in, and know what business problems your company is trying to solve. In terms of data science, being able to discern which problems are important to solve for the business is critical, in addition to identifying new ways the business should be leveraging its data.

9. Communication skills – Companies searching for a strong data scientist are looking for someone who can clearly and fluently translate their technical findings to a non-technical team, such as the Marketing or Sales departments. A data scientist must enable the business to make decisions by arming them with quantified insights, in addition to understanding the needs of their non-technical colleagues in order to wrangle the data appropriately. Check out our recent flash survey for more information on communication skills for quantitative professionals.

Doing a quick search for becoming a data scientist will provide tons of additional valuable information.