Big Data and Data Science Job Opportunities In 2018

Apr 18, 2018 | 7008 Views

Big data isn't just a buzz word anymore. It is extremely important for organizations to pay attention to it. Data is now driving more organizational decisions than ever before. With vast amounts of data being produced in real-time, there is a huge demand for people with skills to manage, analyze and help organizations use this data effectively. Technology changes frequently, and so do buzzwords. Big data, which was one of the most used terms until recently, has been replaced with 'real-time'. This doesn't mean that the demand for big data skills is now low. Rather, it simply means that the keyword has been replaced. 

Projections for Big Data: 
According to the IDC forecast, the big data market will be worth $46.34 billion by 2018. Big data technology and associated services market is expected to grow at a compound annual growth rate (CAGR) of 23.1% from 2014 to 2019.  The IDC believes that the availability of talent with skills to analyze big data will determine the big data market in the future. The demand for big data skills is luring more individuals to develop skills that big data jobs require. The predictions by IDC are positive.  Alex Rossino, a senior principal research analyst at Deltek, also suggests that invest in cloud computing and big data technologies are increasing.
Big Data Implementation: 
According to a survey by Knowledgent, there are clear indications that big data is moving out of the experimental stage. Many respondents of this survey firmly believe that organizations will now utilize big data for production purposes. And over 60% of them think that big data initiatives occupy an important place in their organization's agenda. More than 25% of respondents are already implementing big data solutions in their organization. Others are less than six months away from doing so.
Create your CV and update your LinkedIn profiles: 
Rise in the job opportunities one should update their CV and Linkedin profile to grap those oppprtunities. Also mention with the tools and technologies that you have learned and describe the projects you have worked on in past so that you can deliver the best outcome from your skills. Make sure to update your Linkedin profile too so all potential recruiters will check it.
Big Data Job Titles:
Here is a list of job titles that require big data skills. These titles are useful in determining search terms for big data jobs:
  • Data Engineer
  • Big Data Engineer
  • Machine Learning Scientist
  • Business Analytics Specialist
  • Data Visualization Developer
  • BI Solutions Architect
  • BI Specialist
  • Analytics Manager
  • Machine Learning Engineer
  • Statistician
Prepare for interviews: Practice makes a man perfect and you should prepare and practice for interviews too. Go through various frequently asked interview questions on the internet and prepare for them. Get ready to be tested on what you have mentioned on your CV and also be ready to be tested with case studies and take-home problems to solve. Keep yourself updated on developments in data science. Practice answering estimate based case studies which are designed to test your structured thinking.
Data Science Roles:

Business Intelligence Analyst
A BI analyst uses data to help figure out market and business trends by analyzing data to develop a clearer picture of where the company stands.
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.
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.
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 to not only 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.
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 in order 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.

In conclusion, data science is a booming industry with lots of opportunities being created. Persistence, the right approach, and hard work will get you into a dream career in this field.

Source: HOB