The field of Data Science is exploding in terms of innovation, application, and even job prospects. Simply put, being new to the corporate world, there are less qualified candidates to fill Data Science related positions than there is demand for them in the market.
Are you one of those who are trying to set foot in the world of data science and ride with this wave at the right time? Let me list down some career prospects which you can surf on!
Data Scientist: Let us start with the obvious. Data scientists have the technical ability to solve complicated problems – as well as the curiosity to figure out what problems need to be solved. They're a combination of mathematician, computer scientist, and trend-finder.
Data Architect: A data architect is an IT specialist that builds and manages data systems, establishes policies for data storage and access, coordinates several data sources within an organisation, and integrates new data technologies into current IT infrastructures.
Data Engineer: Data engineers create data reservoirs and are responsible for maintaining both those reservoirs and the data generated by digital activities. They build, test, and manage data-storage architecture, such as databases and large-scale data processing systems. Data engineers set up continuous pipelines that flow to and from massive pools of filtered data that data scientists may work with.
Data Strategist: A Data Strategist's job is to work with teams and build strategies for delivering value to the organization through data-driven suggestions and insights.
Chief Data Officer: A chief data officer (CDO) is a senior executive in charge of an organization's data usage and control. The CDO is responsible for guiding the organization's ability to get maximum value from the data it has access to.
Data Systems Developer: The Data Systems Developer is in charge of the entire software development life cycle, including working with the business, gathering requirements, designing, developing software, testing, documenting, and providing production support.
Business Intelligence Analyst: BI analyst uses data and other information to assist firms in making effective business decisions. In addition, BI analysts may be requested to create tools and data models to aid in the visualisation and monitoring of data.
Data Manager: A data manager's job is to keep track of a company's many data systems and networks. Their responsibilities include properly arranging, storing, and analysing company data, as well as maintaining a company's security and confidentiality standards.
Data Visualization Specialist: The Data Visualization Specialist is in charge of producing and editing visual information such as maps, graphs, and charts. Creating engaging visualisations from data sets, quantitative and qualitative analyses. And assisting management with the visual, technical, and editorial aspects of the project.
Big Data Solutions Architect: Big data solution architects are trained to explain a big data solution's structure and behaviour, as well as how that big data solution may be implemented utilising big data technology like Hadoop. They serve as a conduit between the organization's demands, big data scientists, and big data engineers.
Considering the fact that Data Science is still developing, the job possibilities are limitless. New requirements surface everyday as industries employ the use of data to their advantage. Infact, one can also work as a freelancer and switch between these roles as required, or probably start their own consultancy business. You never know where hard work can lead you.
May you venture to new heights in the Data Industry.