How to Build a Career in Data Science?

Today’s economy is leaning more toward analytics—companies have been collecting data for many years. According to LinkedIn, there is a massive demand for people who can mine and interpret data. These are the data scientists.

Who is a Data Scientist?

Data scientists are a mix of mathematicians, trend-spotters, and computer scientists. The data scientist’s role 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 drive industries by analyzing complex datasets to tease out insights that companies can leverage into actions.

Skills Required For Data Scientist

If you’ve been wondering how to start a career in data science, you’ll need hard skills like analysis, machine learning, statistics, Hadoop, etc. Still, you’ll also excel in this type of role if you excel at critical thinking, persuasive communications, and are a great listener and problem solver. You’ll also need data science training, of course, download our free eBook Top Programming Languages for a Data Scientist to learn more.

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.

Data Scientist Master's Program

Data Science Roles

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

  1. Business Intelligence Analyst

    ABI analyst uses data to help figure out market and business trends by analyzing data to develop a clearer picture of where the company stands.
  2. Data Mining Engineer

    The data mining engineer examines not only the data for their own business but also that of third parties. In addition to analyzing data, a data mining engineer will create sophisticated algorithms to help analyze the data further.
  3. Data Architect

    Data architects work closely with users, system designers, and developers to create blueprints that data management systems use to centralize, integrate, maintain, and protect data sources.
  4. Data Scientist

    Data scientists begin by translating a business case into an analytics agenda, developing hypotheses, and understanding data—as well as exploring patterns to measure what impact they will have on businesses. They also find and choose algorithms to help further analyze data. They use business analytics not only to explain what effect the data is going to have on a company in the future but can also help devise solutions that will help the company to move forward.
  5. Senior Data Scientist

    A senior data scientist can anticipate what a business’s future needs will be. Apart from gathering data, they also analyze it thoroughly to resolve highly complex business problems efficiently. Through their experience, they can not only design but drive forward the creation of new standards, as well as create ways to use statistical data and also develop tools to help further analyze the data.
Looking forward to becoming a Data Scientist? Check out the Data Scientist Masters Program and get certified today.

Data Scientist Job Market

With millions of worldwide job openings in Big Data, the role of a 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 LinkedIn, there are 57,064 Data Scientist jobs available worldwide. Data Scientist was found to be the most promising career in 2019 and has ranked one of the top 50 jobs in the United States.

Data Scientist Career Outlook

With the right qualifications, you’ll 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—even those holding the lowest-paying data scientist jobs will still make a nice living. According to Glassdoor, the average salary of a Data Scientist is $108,224 per year and the salaries range from $79,000 to $145,000 depending upon the knowledge and expertise you bring to the table.

Data Science Career Guide

A Comprehensive Guide To Becoming A Data ScientistDownload Now
Data Science Career Guide

Prerequisites for Data Scientist

The education requirements for data science roles are among the steepest in the IT industry—about 40% of these positions today require you to hold an advanced degree. There also are resources to learn data science online; for example, education providers like Simplilearn that also offer Data Science training online courses that are much more career-focused. These courses allow you to gain in-depth knowledge about the most advanced skills and technologies that data scientists use, such as Tableau, Hadoop, R, SAS, Python, machine learning, and more.

If you're interested in becoming a Data Science expert then we have just the right guide for you. The Data Science Career Guide will give you insights into the most trending technologies, the top companies that are hiring, the skills required to jumpstart your career in the thriving field of Data Science, and offers you a personalized roadmap to becoming a successful Data Science expert.

About the Author

Avantika MonnappaAvantika Monnappa

A project management and digital marketing knowledge manager, Avantika’s area of interest is project design and analysis for digital marketing, data science, and analytics companies.

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