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Data Science Jobs and Pay scale in 2019
In a world where about 2.6 quintillion bytes of data is produced every day, a person who can organize and analyze this information to provide immaculate business solutions is indeed the savior. Also, data science jobs are amongst the most in-demand professions mainly because of the high pay grade and immense learning experiences. This field is all about using automated methods to critically analyze massive amounts of data and extract imperative insights from them.
Essentially, data science involves using data that companies collect to gain new insights, identify on-going trends and find critical ways to streamline business practices and strategies, accordingly.
As much has been spoken about why Big Data is here to stay and why it is the best career move, there are still some questions that remain unanswered. Building on what’s already been said let's discuss career opportunities in Data Science and why it is trending of the 21st century. Here are some of the best data science career opportunities:
Business Intelligence (BI) Developer
Business Intelligence developers plan and design strategies to bolster users to assist them in quickly and accurately find the information they require to make business decisions. Extremely data-savvy, they use existing Business Intelligence tools or develop custom analytic applications to facilitate the end-users’ understanding of their systems
The average salary of a BI developer is around to $88,433 and few notable companies who pursue this kind of work are Discover, DollarShave Club, and Liberty Mutual.
Data Architects must ensure data solutions are built for performance and design analytics applications on multiple platforms. Their average salaries go up to $138,600 and companies like eBay, T Mobile and IBM among several others are in need for these professionals.
Infrastructure Architects oversee that all the business systems are working at optimal levels and are supporting the development of new system requirements and technologies. A similar job title is Cloud Infrastructure Architect, a role where the professional oversees a company’s cloud computing strategy. Their salaries go up to $125,355 and noteworthy companies like Hewlett-Packard, Dell, Abbott Labs as well as Ford Motor Company require these hardcore experts.
Enterprise Architects work closely with stakeholders, including management and subject matter experts (SME) to develop a holistic view of an organization’s information, strategy, and IT assets. Their salaries are amongst the highest in the domain of data science. as it can rise up to $162,273 and prominent companies such as Cisco, Boeing, Lockheed Martin, Microsoft are just a few where Enterprise Architects are being hired.
A data analyst transforms and manipulates large data sets to suit the desired analysis for companies. For most of companies, this role also includes tracking web analytics and analyzing A/B testing. To kick start early in data science, you can pursue this domain of data science and get into well-known companies like Walmart, Gap, Bank of America and Kohler, and earn up to $84,800.
Data Engineers perform high-intensity batch processing or real-time processing on the gathered and stored data. Also, they make data readable for data scientists. Their salaries are amongst the highest paid in this field i.e. $150,308 and companies like Spotify, Verizon, General Motors and Shutterfly eagerly require such kind of professionals.
Data Scientists find, clean, and organize data for companies. Data scientists will need to be able to analyze large amounts of complex raw and processed information to find patterns that will benefit an organization and help drive strategic business decisions. These professionals are also at the top of the list for high earners in data sciences and big companies like Facebook, Capital One, Airbnb and Twitter have multiple vacancies in this domain. Their average salaries according to Glassdoor are $139,840.
Multiple other professions are also part of data sciences but these are the ones that are prominent and in demand for the year 2019. Dr. Schedlbauer summarizes that as some data science tasks will likely to be automated within the next 8 to 10 years, there is a dire need for professionals who understand business needs, can devise data-oriented solutions, and then implement those solutions.
Lastly, data science experts are needed in almost every field, from government security to dating apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers. Getting a data science certification or enrolling in any data science bootcamp online will help in getting another level advancements in your career. Data science careers are in high demand and this trend will not be slowing down any time soon, if ever.