Career Trends: Latest jobs in Data Science — Choose the right tech career

5 min read

Edition: August 3rd, 2021
Curated by the Knowledge Team of ICS Career GPS

The surge in technology usage has opened the door for the latest jobs in data science. (Image Credit: Getty)
  • Excerpts from article by Adilin Beatrice, published on

As technology became a major part of everybody’s life, they realised the vital role big data plays in shaping routines. Today, big data is being used to make critical business decisions. Owing to the boom of big data, futuristic technologies like data science have come to people’s notice. 

Data science is the concept of using data to answer questions and develop solutions that help drive data-driven decisions for an organisation. 

Data science jobs revolve around a wide array of knowledge including skills in artificial intelligence, business intelligence, and data analysis. The surge in technology usage has opened the door for the latest jobs in data science. 

Data science jobs are rapidly growing, offering a lot of career opportunities across many different industries. While native data science jobs have a remarkable place in the tech sphere, other latest jobs in data science are also stealing aspirant’s attention.

Here are the latest jobs in data science that aspiring candidates should keep an eye on:

1. Data Warehouse Architect

  • Data warehouse architect is a very new field that emerged only a few years back but remarkably, it is one of the highest-paying data science jobs in the tech sphere.
  • Data warehouse architects are responsible for creating, managing, and executing data warehouse activities.
  • They formulate effective techniques and devise strategies to keep the warehouse running.

2. Analytics Manager

  • Analytics managers are bound to manage the data environment.
  • They need to oversee the data practices, procedures, and strategies in an organisation or a department.
  • The analytics Manager should also make sure that data collection and analysis are unfolding without hindrance.
  • When they move to higher positions, the company they work for might demand more skills from them to broaden their working base.

3. Intelligence Analyst

  • Intelligence analysts are professionals who work on security.
  • They are often employed at government agencies or companies that engage with government organisations to solve security threats.
  • The companies demand intelligence analysts to have strong research skills, computing power, and the capability to find hidden data content.
  • They need to revive data and make sense of large datasets.

4. Machine Learning Scientist

  • Machine learning scientists go a step beyond any other data professionals and acquire in-depth knowledge in data science and machine learning as a whole.
  • They research new data approaches and algorithms and use them in adaptive systems such as supervised, unsupervised, and deep learning techniques.
  • Machine learning scientists are often called ‘Research Scientists’ or ‘Research Engineers.’

5. Enterprise Architect

  • Enterprise architects devise effective strategies to ensure the smooth flow of the organisation’s data infrastructure.
  • They should make use of effective technologies to execute plans in an organisation.
  • As executing business plans with the help of technology demands both business and tech knowledge, enterprise architects are expected to be well-versed in both.

6. Quantitative Analyst

  • Quantitative analysts are professionals who use data to analyse and seek out potential financial investment opportunities or risk management problems.
  • Their work also involves an in-depth analysis of financial data like creating trading models and predicting stock prices.

7. Transportation Logistics Specialist

  • Large shipping companies like Amazon, Flipkart, and UPS and naval transport companies, airlines, city planning offices are the recruiters of transportation logistics specialists.
  • With data analytics background, transportation logistics specialist identifies the most efficient path for products and services to be delivered.
  • They analyse large datasets and sort out the clear path, leaving out bottlenecks behind in the land, sea, and airways.

8. Business Intelligence Developer

  • The major job of a business intelligence developer is to manipulate data into a format that is understandable for non-technical users.
  • But to do that they:
  1. Need to be good at coding languages like C# or JavaScript
  2. Understand data warehousing
  3. Know about business intelligence and security rules
  4. Have experience with platforms like SSIS, SSRS, and SSAS.

9. Marketing Analyst

  • Earlier, marketing professionals in an organisation used to layout the marketing strategy.
  • But as technology has evolved and took over every workplace routine, devising a marketing framework is also becoming a part of a tech job.
  • Marketing analysts look into marketing and sales data to assess and improve the effectiveness and efficiency of marketing campaigns.

10. Statistician

  • Data science is a mix of technology, statistics, and mathematics.
  • In the tech sphere, data scientists are often called statisticians for their fondness for numbers and calculations.
  • But statisticians are professionals who have a strong foundation in statistics and probability.
  • They apply statistical knowledge along with technology to practice and drive data-based decisions, which are effective in banking, market research firms, and operational research institutes.

(Disclaimer: The opinions expressed in the article mentioned above are those of the author(s). They do not purport to reflect the opinions or views of ICS Career GPS or its staff.)

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