Career In Data Science: Here Are Some Job Roles You Could Choose From

4 min read

Career Trends: July 29, 2022
Curated by the Knowledge Team of ICS Career GPS


A data scientist uses mathematical, statistical, and computer science expertise to analyse data.

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Utilising and arranging data for analysis is data science. It’s not without reason that careers in data science have recently attracted a lot of attention. Data science has progressed from being limited to merely analytics and statistics to generating forecasts, making judgments, and taking actions that affect businesses big and small around the world. Data scientists possibly have the widest range of job titles and duties out of all the professions in the computer industry.

The essence of data science is cleansing and arranging the data to help us make better decisions in the future, particularly when there is a wealth of data accessible.

Roles and responsibilities of a data scientist:

A data scientist uses mathematical, statistical, and computer science expertise to analyse data. Here are 3 major roles and responsibilities of a data scientist:

  • Collaboration: Data scientists will often work in complex teams to inform key stakeholders about challenges and discoveries in an effort to improve company performance and decision-making.
  • Analytics: A Data Scientist is often responsible for providing insights on a variety of issues, such as projections, classification, clustering, pattern analysis, sampling, simulations, and other issues. Having the ability to analyse the data at their disposal to create economic and statistical models is a given.
  • Strategy: A Data Scientist is also essential in the development of creative strategies for understanding consumer trends and management in the organisation, as well as approaches to address complex business challenges.

What are the essential skills required to be a data scientist?

  • Mathematical Skills: A data scientist has to be very good when it comes to mathematics, particularly branches like algorithms, logarithms, calculus, and statistics.
  • Programming Skills: To benefit from computer-intensive technology like machine learning, data scientists must interact with machines. They will need programming skills for this.
  • Methodological Thinking: A data scientist frequently has to consider issues from several angles. Thinking with discipline makes it easier to stay on track and maintain focus.
  • Curiosity: Developing a curious mindset can enable a data scientist to continuously produce successful and innovative outcomes.
  • Data Intuition: A skilled data scientist has intuition and understands when to go beneath the surface for insightful information since useful data insights are not always visible in massive data sets.

What are the career opportunities for a data scientist?

In most businesses, data science has important applications. Let’s take a look at some of the career opportunities available to a data scientist:

1. Machine Learning Engineer

  • In order to give software solutions, machine learning engineers build data funnels.
  • As well as having a working grasp of software engineering, they often require good statistical and programming abilities.

2. Applications Architect

  • Application Architect or Software Architect is a person usually operating within a scope of one application (system). 
  • The design of an application’s architecture, which includes elements like the user interface and infrastructure, is a primary concern for application architects.

3. Data Engineer

  • Data Engineers are responsible for building and maintaining analytics solutions.
  • This is done to create a strong link among big data within a company as well as making that information available to data scientists.

4. Data Analyst

  • Data analysts support organisational leaders’ decision-making by creating reports that clearly express patterns and learnings from their study.
  • They can be working across sectors and departments.

5. Statistician

  • Statisticians are professionals who apply statistical methods and models to real-world problems.
  • Data is gathered, analysed, and interpreted by statisticians in order to find patterns and connections that might guide corporate decision-making.

Big data is essential to the success and improved customer service of millions of enterprises and government agencies – and data scientists are also the ones who facilitate proper handling of it. In fact, careers in data science are in great demand, and this trend is unlikely to change anytime soon.


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(Disclaimer: The opinions expressed in the above mentioned article 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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