30 Mar Top Statistics and Data Science Roles in 2020
If reports are to be believed, then there is a distinct shortage of skilled data scientists and business statisticians on the job market able to satisfy the expanding demand in 2020 and beyond. As businesses become increasingly reliant on data to function on a daily basis, and as the data itself becomes bigger and more sophisticated, so the variety of specialized roles required to analyze and action the data equally grows.
In this article, we take a look at some of the most popular data science and statistics jobs likely to be in demand in the near future.
Why the Increase in Demand?
In this year alone, we are seeing predictions that the United States is likely to see the number of employment opportunities for business data and statistics experts increase by as many as 364,000 new jobs in just twelve months. If we add in many of the new and emerging job titles such as data developers, administrators and data security experts, then we might expect to see another 700,000 jobs becoming available. It’s never been a better time to become a data and statistics analysis professional.
Getting the Right Qualifications
Regardless of the data science or statistical analysis role you are looking to secure, the training and education you receive is critical to giving you the edge when it comes to applying for roles in this increasingly competitive job market. You’ll need to consider a masters in business statistics for any statistical analysis role, preferably combined with data analysis to ensure you have a broad knowledge and a varied skill set across the many data and statistics sectors and job types.
Right at the top, the data scientist role is pivotal to any organization that relies on large amounts of data to function. There are countless opportunities for a highly qualified or experienced data scientist to work with existing IT teams, supporting data and statistical models, both in terms of design and deployment.
The Data Engineer
Digging slightly further is the more specialized data engineer. These specialists are typically involved in the manipulation and analysis of advanced datasets, creating code to help with algorithmic work and ensuring that end users have meaningful access to understandable data.
The Data Analyst
Responsible for the majority of data organization and interpretation, the data analyst can often be found designing surveys while helping end users make meaning of the results. This is an interpersonal role, and as many soft skills are needed as technical ones, as they have a responsibility to demystify the gathered data and interpret it for colleagues and stakeholders alike.
The Security Engineer
More important than ever, the data security expert is responsible for the cyber security of critical data and the digital systems and networks they integrate with. They will need to be experienced in everything from forensic digital security, through identification of threats, risk assessments to response procedures.
The future is bright for data science and statistics employment opportunities. With so many diverse specializations evolving all the time, the key is ensure your qualifications and experience are future proof.