Which Is Better, a Data Scientist or a Full Stack Developer?

Mauhhik Thakkar
Published in
6 min readOct 29, 2022


Let's take a closer look at two of the most promising careers from 2022 to 2030.

image source: cramped

Choosing a career path can be daunting when you are just starting out. Do you want to work as a data scientist or full-stack developer? Both options have advantages but deciding which is the best option for you can be difficult. In this blog post, we will assist you in making that decision by highlighting the key differences between data science and full-stack development.

What exactly is Data Science?

The process of extracting meaning from data is known as data science. It entails employing various techniques to clean, process, and analyze data to uncover patterns and insights. Data science can solve problems in many fields, including business, finance, healthcare, and marketing. It integrates data mining, machine learning, and statistical analysis. Database management, visualization, and data warehousing are also included. Data scientists apply their knowledge to solve business problems and assist businesses in making better decisions. They must deal with massive amounts of data, such as customer, financial, and medical records. Data scientists must effectively communicate their findings to non-technical audiences.

Because of the increasing amount of data generated by businesses and organizations, there has been an increase in demand for data scientists in recent years. If you want to work in data science, you’ll need to be good at math and programming. In order to find patterns in data, you must also be able to think critically and creatively. If you possess these abilities, a career in data science could be extremely rewarding for you.

What exactly is a Full Stack Developer?

A full-stack developer is a web developer who can work on the front end as well as the back end of a website. Front-end developers are in charge of a site’s design and layout, while back-end developers handle more technical aspects like server-side programming and database interactions. A full-stack developer is capable of working on both the front-end and back-end of a website. Look for Full stack developer training online to gain a thorough understanding of Full stack development and learn the various aspects of it in order to launch a career in the field.

Full-stack developers are in high demand because they can complete projects from start to finish without the assistance of other specialists. Full-stack developers must be well-versed in web design and development, as well as the various technologies used to build a website. They should also be able to communicate effectively with designers and developers to ensure that all aspects of a project are coordinated.

Comparison of Data Scientists to Full-Stack Developers in Terms of Key Differences

Let’s find out which is superior by contrasting the roles of a full-stack developer and a data scientist so that we can get a better idea of what each does!

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1. Career Outcomes: A Data Scientist can expect a separate set of career outcomes than a Full Stack Developer can envision for themselves. Full-stack developers are most employed by enterprises and small startups, in contrast to the data scientists who large corporations typically use. However, given enough time and effort, you will be able to succeed in either of these arenas; therefore, you should select the one that more closely aligns with your career goals and interests.

2. The labour market It is anticipated that there will be a 28% increase in the demand for data scientists by the year 2020. The Bureau of Labor Statistics in the United States estimates that by 2026, the industry will have created approximately 11.5 million new job opportunities.

According to projections made by the Bureau of Labor Statistics, the number of available jobs in the field of “web development” will rise by 13% between the years 2018 and 2028. According to the report entitled “LinkedIn’s 2020 Emerging Jobs Report,” the position of “Full stack engineer” comes in at number four on the list of the best emerging jobs for the year 2020. According to the findings of the research, the number of open positions for Full stack engineers has increased by 35% each year since 2015.

Check out the time required for software developer courses to better understand how long it takes to become proficient in the skills needed to create websites.

Salary Range: To have a better understanding of the roles, it is helpful to be familiar with the salary ranges for data scientists and full-stack developers. The salary ranges that each profession offers are the primary distinction between data scientists and full-stack developers. The Bureau of Labor Statistics in the United States estimates that a data scientist makes an annual salary of approximately $98,000 on average. On the other hand, a Full stack developer can anticipate an annual salary of approximately $97,000 on average.

Roles: In terms of roles, a Data Scientist is frequently referred to as the data architect, while a Full Stack Developer is the one who is accountable for building the entire stack. Nevertheless, these two functions are not at all similar in any way. The primary distinction between these two roles is that a Data Scientist possesses exceptional expertise in data analysis and is familiar with various data analysis methods. On the other hand, a Full Stack Developer is proficient in programming and knows various technologies, including web development, software development, and so on.

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Several vendors provide certification for Data Scientists, such as Certified Big Data Engineer (CDBE), Certified Scrum Master (CSM), Certified Business Analyst (CBA), Certified IT Professional — Certified Administrator (CiP-CA), and Certified IT Specialist — Certified Application Specialist (CIS-CAS), and for Full Stack Developers, such as Professional Certificate in Full Stack Cloud Developer, Full Stack Web Development with Node.js, and Full Stack Web Development with Node.js.


Data scientists typically hold a master’s or doctorate degree in a quantitative field such as statistics or computer science. Full-stack developers are capable of performing both programming and non-programming tasks. They can handle any job, from front-end to back-end development, and can write code for websites, mobile apps, and APIs. Full-stack developers typically have a bachelor’s degree in computer science or a closely related field.


Data scientists are more common in tech fields such as analytics and machine learning, whereas full-stack developers are more common in software development and IT departments.

Advantages: A data scientist is a term used to describe someone specializing in data analysis. A full-stack developer is someone who specializes in software development and data analysis. Full-stack developers and data scientists both have strong programming skills. Both data scientists and full-stack developers must understand the organization’s business organization's

Source: By Author — Mauhhik

To sum up:

Your Interests Full-stack development is a role for people who enjoy working independently. You will be free to shape project progress on your own and only report to team members at project milestones.

Software engineering, on the other hand, is a team effort. As a software engineer, you will constantly contact managers, technical team leads, and other stakeholders. So, if you enjoy working in highly collaborative environments, this is your career.

Your Professional Objectives
Consider a Career as a Full-Stack Developer If…
You like web programming and the process of completing a website development project. It is a constantly evolving field, and you will have the opportunity to work with some inspiring startups and companies.

Consider a Career as a Software Engineer If…
You want to work in a multi-disciplinary field that will test your math, computer science, and engineering knowledge. It’s a demanding job, but it’ll get to build large you'll find products for various devices and platforms.



Mauhhik Thakkar
Writer for

Data Scientist | Data Science mentor | Project Management | Agile Project Manager follow/connect with me on LinkedIn @mauhhikthakkar