Data science is one of the most significant industries with a lot of opportunities. With the increasing data acquisition of about 2.5 quintillion data per day, new technologies are developed to tackle data overwhelming and the transformation is likely to continue into the coming decade. The rise of data-related practitioners in the modern world is very real. Data related jobs post is anticipated to add around 1.5 lakh new openings by 2021. The data scientist has been named the number one job in the US for the past four years, by Glassdoor. The job roles in Data Science are as follows.
Data scientists are technological persons who are experts in data analysis software and use them to predict market patterns. data preparation tasks like cleaning, organizing, and many more that allows companies to take strategic actions are usually done by data scientist
A person who transforms and manipulates large data sets is called a Data Analyst. . They help and assist higher-level executives in collecting insights from their analytics. A data analyst is responsible for A/B testing analysis, tracking web analytics, operating and altering large datasets to be lined up with anticipated analysis for businesses.
Machine Learning Engineer
Machine learning engineers are responsible for delivering software solutions and creating data funnels. They are also responsible for exploring and implementing machine learning algorithms and tools. Machine learning engineers often use other technologies like Python, deep learning, and artificial intelligence to create automation in data analysis.
Batch processing or real-time processing of gathered and stored data are done by data engineers. Data engineers share a collaborative relationship with data scientists. They make the data legible for the data scientists. Data engineers manage the planning, development, construction, maintenance, and testing of architectures such as datasets and large-scale processing systems.
Creating new database systems, and designing analytics to improve the interconnected data ecosystem within the company is the primary function of a Data Architect. They develop data solutions for multi-platform presentation and also design analytics applications. With the rise of cybernation in data science, the demand for data architects has increased.
Business Intelligence Developer
They are responsible for designing and developing policies that help the organization in making better business decisions. To make system procedures easier, a business intelligence developer could either utilize current BI analytic tools or build their tools.
Statisticians are hired to analyze, and interpret data, thus assisting the decision-makers with their work. They analyze the trends and relationships to inform organizational prospects. Their daily responsibilities often include designing data collection processes, communicating findings to stakeholders, and advising organizational strategy.
Enterprise architects engage in aligning the company’s strategy with technological solutions. They manage the creation, improvement, preservation, and management of IT architecture models and support systems
Infrastructure Architect, They oversee the existing business systems to make sure that they support the new technological requirements and also helps in cost optimization.
(This article was originally published in Passionate in Analytics.)