The demand for data scientists has increased exponentially in recent years. This rising demand has created great career opportunities in this field, and it is expected that the field of data science will generate more than 1.5 lakh new career opportunities in the upcoming years. This trend is the obvious response to the current digital society and world, which revolves around data. So, all around the world, big companies and organisations are taking the help of data science and data scientists for the betterment of their business organisation and economic activities.
Here’s a look at the highest-paying data scientist jobs.
Note: according to the Bureau of Labor Statistics (BLS), jobs for computer and information research scientists and data scientists will experience 14 percent growth through 2028
Data science is a field that comprises mathematics and computer applications; the aim of data science is to collect, store and analyse data. Specific algorithms and machine learning technics are used to analyse and get insights from the data, which will result in fostering an environment that is growing continuously. A data scientist will be a master in data collection, data conversion, data exploration, data analysis, and changing the data to a workable model by using machine learning techniques.
According to the US news, just in the United States, there are nearly 20,000 open positions for data scientists, and there isn’t enough supply to fill these positions; this is one of the many reasons why the data science professions command high salaries. According to Glassdoor, data science professionals typically earn around $117,000 a year, and this can vary depending on factors like level of education, location, and area of specialisation. In general, machine learning engineers earn more than data analysts, and the people working in the consumer technology sector usually make more than those who work for government agencies.
The general duty of a data scientist is to source and process data that is available to the company, this duty can vary from company to company. According to Glassdoor, the average annual salary for a data scientist in the united states is around $117,000.
Big data engineers work towards collecting and organising enormous data of an organisation. They build data pipelines and handle the data storage. It is the job of the big data engineer to extract, transform and load the data and also to work on the framework of the database. The average annual salary for a big data engineer in the United States is around $125,000.
A machine learning engineer is a programmer who collaborates with managers to determine machine learning objectives. They also design machine learning systems, and they usually work on verifying data quality. It is the job of the machine learning engineer to solve complex problems with multi-layered data set. The average annual salary for a machine learning engineer in the United States is around $123,000.
It is the responsibility of the data architect to maintain the database development standards, design and deploy the database, and also inventory the data needs of an organisation. They also visualise and design the data management framework of an organisation by assessing the organisation’s data sources. After this, it is the job of the data architect to design a plan to integrate, centralise and maintain all the gathered data. The average annual salary for a data architect in the United States is around $152,000.
A data modeler transforms business information into models, this will help in simplifying complex data, and then this can be used by computer systems. They also work towards developing and validating data models to meet the organisation’s needs. It is the job of a data modeler to ensure the data coding consistency within a system and to update the metadata models. The average annual salary for a data modeler in the United States is around $106,000.
It is the duty of the data engineer to work on the raw data and other elements like resilience, scaling, data storage, security, and formats. Data engineering builds the free-flowing data pipeline for real-time data analytics. They also create data analytics tools for team members and maintain all the data management systems. The average annual salary for a data engineer in the United States is around $113,000, according to Glassdoor.
Business intelligence studies the current industry trend and analyses the company data to identify trends that could affect an organisation’s business strategy. They also prepare analytical reports to share data findings with stakeholders. They collaborate with different business teams to identify the needs and write market intelligence report that is focused on the current industry trends. The average annual salary for a business intelligence analyst in the United States is around $87,000.
Database managers are people who optimise the database tools and services, they also supervise the database development team and try to improve the database performance. They are not as same as the database administrators. As the database managers maintain the safety and security of an organisation’s database. They are also people who are well equipped to restore the deleted or lost data. The average annual salary for a database manager in the United States is around $76,000.
We hope the article helped you in understanding the current trends in the field of data science and the career options in the area. Log on to TC Global’s student portal to know more about courses and programmes.