Data Science Career Path – A Comprehensive Guide

Data Science Career Path – A Comprehensive Guide

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Is coding the language that fascinates you the most? Then you can make a career through learning coding and its attributes. One such field is Data Science.

Here’s everything you need to know about data science as a career field.

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What is Data Science?

Data science provides meaningful information based on large amounts of complex data or big data. Also called data-driven science, it combines different fields of work in statistics and computation to interpret data for decision-making purposes.

Work in data science includes drawing data from different sectors, channels, and platforms, including cell phones, social media, e-commerce sites, healthcare surveys, and Internet searches.

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What Does a Data Scientist Do?

A data scientist is an analytical data expert with technical skills and the ability to solve complex problems. A data scientist is a mathematician and a computer scientist for an organization. They collect, analyze, and interprets data to find ways to help a business improve their operations and get an edge over competitors.

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Educational and Experience Requirements

Bachelor’s degree  

You are required to have a bachelor’s degree in computer science or a related field. A bachelor’s degree will be of four years.

Master’s degree / Ph.D.

Data science is a field where your opportunities will be greater with a master’s or doctoral degree. You can choose to pursue a master’s in computer science, information technology, math, and statistics.

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Get an entry-level job.

You’ll need to start an entry-level position, such as a data analyst or junior data scientist. You may want to consider system-specific training or certifications such as data visualization, business intelligence applications, or relational database management.

What is taught in a Data Science Course?

Skills required

Here are few skills discussed that you might require in becoming a data analyst or scientist

Analytical Skills

You have to be organized in your thinking and analyze the results of your research to formulate conclusions.

Communication Skills

Data scientists don’t work alone they work with programmers and managers and must communicate with them, the Bureau explains.

Critical and Logical Thinking Skills

Because data scientists work on complex problems, critical thinking is a must for success, as is a talent for reasoning and logic.

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Math Skills

You must know advanced math and technical topics that are critical in computing.

Hard Skills

Generally, Data Scientists must be fluent in several different programming languages and software programs. Though there are many different types, Glassdoor research found that Python, R, and SQL are the most prevalent.

Top universities for Data Science

Career  opportunities

You can choose from a wide variety of careers, few are discussed below:

Data Analyst

Data analysts are responsible for various tasks, including visualization, munging, and processing massive amounts of data. They also have to perform queries on the databases from time to time. One essential skill of a data analyst is optimization. This is because they have to create and modify algorithms that one can use to cull information from some of the most extensive databases without corrupting the data.

SQL, R, SAS, Python are some of the sought-after technologies for data analysis. So, certification in these can easily give a boost to your job applications. You should also have good problem-solving qualities.

Data Engineers

Data engineers build and test scalable Big Data ecosystems for businesses to run their algorithms on data systems that are stable and highly optimized. They also update the existing systems with newer or upgraded versions of the current technologies to improve the efficiency of the databases.

If you are interested in a career as a data engineer, then technologies that require hands-on experience include Hive, SQL, R, Ruby, Java, and C++. It would also help if you can work with popular data APIs and ETL tools, etc.

Database Administrator

They are responsible for the proper functioning of all the enterprise databases and grant or revoke its services to the company’s employees depending on their requirements. They are also responsible for database backups and recoveries.

Some of a database administrator’s essential skills and talents include database backup and recovery, data security, data modeling, design, etc. If you are good at disaster management, it’s certainly a bonus.

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Machine Learning Engineer

Machine learning engineers are in high demand today. However, the job profile comes with its challenges. Apart from having in-depth knowledge of some of the most powerful technologies such as SQL, REST APIs, etc., machine learning engineers are also expected to perform A/B testing, build data pipelines, and implement standard machine learning algorithms such as classification and clustering, etc.

You need to know the technologies like Java, Python, JS, etc. Secondly, you should have a firm grasp of statistics and mathematics. Once you have mastered both, it’s a lot easier to crack a job interview.

Data Scientist

Data scientists have to understand business challenges and offer the best solutions using data analysis and data processing. They must have a combination of analytic, machine learning, data mining, and statistical skills in addition to experience with algorithms and coding.

To become a data scientist, you have to be an expert in R, MatLab, SQL, Python, and other complementary technologies. It can also help if you have a higher degree in mathematics or computer engineering, etc.

Top Companies for Data Science


Oracle is known for its innovative database software and technologies, cloud-engineered systems, and enterprise software products. The vast majority of Fortune 500 companies use Oracle products and services.

The average salary of data scientists at Oracle is $1,40,110 per annum.


Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is considered one of the Big Five – the most dominant companies in the information technology industry. Amazon has millions of customers and hence provides various opportunities for data scientists to explore large data-driven projects.

The average salary of a data scientist at Amazon is $121,707 per annum.

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JP Morgan Chase

JP Morgan Chase is a financial services company with its headquarters in New York City. It is known for its innovative data-driven solutions that have helped a significant number of financial organizations. The average salary of a data scientist at JP Morgan is $97,484 per annum.


Teradata is an enterprise software company that provides cloud and hardware-based data warehousing, business analytics, and consulting services.

The average salary of a data scientist at Teradata is $83,961 per annum.

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