Most Popular Data Science Careers in 2023

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Most Popular Data Science Careers in 2023
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Data science is a rapidly growing field that has become increasingly important in today’s data-driven world. Data science professionals are in high demand across various industries, from finance and healthcare to technology and retail. In fact, according to the U.S. Bureau of Labor Statistics, the employment of data science professionals is expected to grow 36% from 2021 to 2031.

This rapid growth is due, in part, to the proliferation of big data and the increasing reliance on data analytics to make informed business decisions. As a result, a career in data science can be both lucrative and rewarding. In this article, we will explore the most popular data science careers in 2023, including job duties, salary expectations, and the skills and qualifications required to succeed in these roles:

Data Scientist

The rise of data science as a field in recent years is thanks to the scholars at its helm. Data scientists collect, analyze, and interpret large data sets to identify patterns and trends. They use this information to develop insights and make data-driven recommendations to organizations. Some popular professionals to follow in this field include DJ Patil, credited with coining the term “data science,” and Hilary Mason, the founder of Fast Forward Labs, a machine intelligence research company.

The average salary for a data scientist is $113,300 per year, with some high-level positions earning over $150,000. A bachelor’s degree in a related field, such as computer science or statistics, is typically the minimum requirement for this role. However, many data scientists choose to pursue advanced degrees such as a master’s or Ph.D. In addition, data scientists may benefit from obtaining certifications such as the Certified Data Scientist offered by the Institute for Operations Research and the Management Sciences.

Business Analyst

Data is at the forefront of business processes because it can provide valuable insights into customer behavior, market trends, and operational efficiency. Business analysts can maximize data to make informed decisions and keep the business running smoothly. They may work with data to develop insights and recommendations on process optimization and stakeholder management. Because of their skills, they are sought after in various industries. Some famous companies that keep business analysts in their team roster include Wall Street giants Goldman Sachs and McKinsey & Company.

With an average salary of $92,000 a year, this is an excellent career in 2023 for professionals with a degree in data science keen on improving operational systems. For instance, a business analyst in the field of consumer services can work on customer loyalty by using data to identify consumer behavior trends, such as what products customers are most likely to purchase. Because business trends can change quickly, this career is perfect for data science professionals looking for a fast-paced work environment.

Enterprise IT Architect

Enterprise IT architects are responsible for designing and implementing the technology infrastructure that supports an organization’s business goals and objectives. They do this by designing and implementing data-driven systems. They work closely with stakeholders to understand the business’ needs and develop scalable, secure, and cost-effective solutions. Prominent organizations that hire these professionals include the U.S. Department of Homeland Security, Deloitte, and IBM.

Enterprise IT architecture will be a lucrative profession for data science professionals in 2023, with an average salary of $139,000 per year. A bachelor’s degree in a related field, such as computer science or information technology, is the typical requirement for this role. In addition, enterprise IT architects may benefit from obtaining certifications such as the Certified Enterprise Architect offered by the Enterprise Architecture Professional Society.

Machine Learning Engineer

As artificial intelligence (AI) continues to advance and become more prevalent, machine learning engineers will be essential in developing and deploying AI systems that can drive value for businesses and organizations. Machine learning engineers are responsible for designing, building, and maintaining machine learning models and techniques. They work closely with data scientists and software engineers to develop and deploy machine learning solutions for organizations. For instance, Yann LeCun, Chief AI Scientist at Facebook and a professor at New York University, has significantly contributed to the development of artificial neural networks and other machine learning algorithms.

To become a machine learning engineer, you must have a degree in a related field, such as computer science or electrical engineering. You may also gain a competitive edge by obtaining certifications such as the Certified Machine Learning Engineer offered by the International Association of Software Architects. With an average salary of $141,000 per year, this is an incredible opportunity for data science professionals looking for advanced career growth in 2023.

Data science professionals play a critical role in helping organizations derive value from their data and use it to make informed decisions. As the demand for data science skills continues to grow, those with the necessary expertise will have a wide range of career opportunities available to them, positioning them at the forefront of the data-driven revolution.

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Prepared by: J Bentley

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