There are a wide range of career options if the data science path is not for you.
The field of data science is continuously evolving as every organization these days is making data-driven decisions. This evolving market is making data science an in-demand career option. However, many professionals also look for alternative career options for data science. In this article, we will explore the top data science alternative career paths to pursue in 2025.
Why Data Science Alternative Careers Matter?
It is no surprise that data science is a highly demanded job in today’s market. While many companies prefer experienced or senior data scientists over early job holders or freshers, there are several alternatives that these juniors can pursue. These data science jobs can be pursued by both beginners and professionals where they can apply their data science skill set.
Also Read: AI for Data Scientists: What To Expect in 2025?
Top Data Science Alternative Careers in 2025
Here are the top alternative career paths for data science you can pursue in 2025.
1. Machine Learning Engineer
Machine learning engineers work as critical members of the data science team. They typically focus on the implementation of machine learning algorithms. Considering the report of the US Bureau of Labor Statistics, information and computer science research jobs are predicted to grow 23 percent through 2032, faster than the average for all occupations.
2. Business Intelligence Analyst
A business intelligence analyst (BI Analyst) utilizes data and other insights to help companies make effective business decisions. This data science alternative career path requires familiarity with database tools, coding languages, data visualization, and financial and business knowledge. Business Intelligence Analysts collect, clean, and analyze data for business growth.
3. Data Journalist
A data journalist is a professional who uses digital information, numerical data, and digital analytics to discover and write stories. He or she leverages technology and software programs to create and include infographics and data visualizations to develop a report’s narrative. They generally work in the media and publishing sectors and their role is crucial in producing data-driven reports that help shape public opinion and impact policy decisions.
4. Data Product Manager
According to a McKinsey report, 70% of digital transformation projects fall short of their goals. A NewVantage Partners survey revealed that 48% of executives see “people challenges” as the main obstacle to becoming data-driven, while 19% blame “technology.” This is where a Data Product Manager plays a key role in making companies data-driven.
Data Product Managers craft a data strategy based on available company data. They try to answer the company’s attempt to accomplish their goals. Data product managers also guide the product team in the development of products using data analytics and data science techniques.
5. Supply Chain Analyst
A supply chain analyst plans, analyzes, and monitors a company’s supply chain distribution to make the products reach their destination on time and in a cost-efficient manner. He or she also monitors inventory stock in warehouses while tracking the needs of the products using tools such as SAP.
Their role is crucial in supervising data on existing business operations, and managing different aspects, ranging from sourcing to warehousing and deliveries to scheduling production.
Also Read: Top 10 Skills to Stay Relevant in The Age of Artificial Intelligence (AI)
Conclusion
These are some of the top alternative careers if the data science path is not for you. The scope is vast and you do not need to waste the skills you have learned. Explore the different career paths to expand your horizons and fulfill your career aspirations.
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