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Career Guidance

The global economy of 21st century is leaning more toward analytics and big data. Companies have been collecting data for many decads. According to LinkedIn, there is a huge demand for people who can mine and interpret data. These professional are called the data scientists.

What is a Data Scientist?

Data scientists are an amalgam of mathematician, statistician, trend-spotter, and computer scientist. The role of a data scientist is to decipher large volumes of data and carry out further analysis to find trends in the data and gain a deeper insight into what it all means. Data scientists operate between the business and IT worlds and drives industry by analyzing complex data-sets to find out insights that companies can leverage into actions.

What Data Science Roles are available?

Just to name a few, some of the most common job titles for data scientists include:

  • Business Intelligence Analyst
  • Data Mining Engineer
  • Data Architect
  • Data Scientist
  • Senior Data Scientist
Skill required to be a Data Scientist

If you have ve been wondering how to start a career in data science, you need to learn hard skills like analysis, machine learning, statistics, Hadoop, R, Python etc. But you will also excel in this type of role if you excel at critical thinking, persuasive communications, and are a great listener and problem solver. You also need data science training, of course. This is an industry where opportunities are plenty, so once you have the education and qualifications, the jobs are waiting for you, now and in the future.

Job Market for Data Scientists Like?

With millions of worldwide job openings in Big Data, Data Scientist has become the hottest job of the decade. In today’s data-based world, companies are using the insights that data scientists provide to stay one step ahead of their competition while keeping overhead costs low. Big names like Oracle, Apple, Microsoft, Booz Allen Hamilton, State Farm, Walmart, and more all regularly have job postings for data scientists. According to a McKinsey Global Institute study, it’s predicted that by 2018, there will be almost 200,000 open positions.

Career Outlook for a Data Scientist?

With the right qualifications, you will enjoy a bright career outlook as a data scientist. The demand for individuals with these skills will continue to increase, and those already in data science roles are sure to see their salaries increase in the future. As demand for skilled professionals to fill these positions increases, the salaries offered are also likely to increase.

Education Requirements?

The education requirements for data science roles are among the steepest in the IT industry, about 80% of these positions today require you to hold an recognized advanced degree (Masters & PG Diploma).

For any further career guidance, counselling and placement, please write contact@qrs.net.in

Basic areas of interview questions for data science job:

These are following basics areas from which data science interview questions are asked:

  • Predictive Modelling
  • Programming
  • Probability
  • Machine Learning
  • Statistical Interference
  • Data Analysis
  • Product Metrics
  • Communications
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