Data Scientist Career Path: Top Jobs, Salaries & Courses for 2023


Jun 5, 2023
Data Scientist Career Path: Top Jobs, Salaries & Courses for 2023

What is Data Science? Why is it Important for Technology Professionals

Globally, we are connected, driven and ruled by data. The more data you analyze, the higher the competitive edge you have. Earthweb estimates that we generate 3.5 quintillion bytes of data daily. The demand for people who can analyze large datasets has risen due to the vast quantity of daily data generated.

Data Science is the collection, manipulation, storage, analysis and classification for further use. All the above actions help businesses take data-driven strategic decisions that minimize cost and optimize profit. Big data and its analysis is the next big innovation. Data Science professionals need to upskill, refocus and navigate their career goals to make the most of the situation. All technology-related jobs will be directly dependent, related to data science, or remotely connected. Professionals or candidates with the necessary knowledge of data management, visualization, SQL, Node, or Python will be top choices for promotion or for hire.

Important Skills Needed for a Career in Data Science 

Data Science has a vast scope in daily life, technology, and business operations. Given the technical nature of the field, a few of the required skills are mentioned below.

    Programming Languages

    Statistics and Probability

    Database Management

    Machine Learning

    Deep Learning

    Data Visualization

     Cloud Computing

    Data Analytics


How to Get into Data Science


To advance your career in Data Science, here are a few classes courses to help you improve your skills. A skilled candidate is the most desired one. Indulge in courses by Perfect E-Learning on Careervira to enhance your hiring chances.


    Complete DataScience Course with Python by Perfect E-Learning: The course teaches necessary skills like data analysis, data visualization, data preprocessing, Python, and Python libraries. The module will enhance applied data science skills for projects. The Careervira Take for this course emphasizes its credibility, pedagogy, pricing and training. The 3-month program delivers the necessary technical skills. The course is suitable for everyone with no prerequisites. The course offers a 90% scholarship and gives EMI options to students. Certification is only available after completing every test, project and quiz.


    SQL by Perfect E-Learning: The course teaches all SQL-related skills like SQL commands, SQL language, data analysis tools, and relational databases. Necessary technicalities like TCL, HCL, their clauses, operations of SQL, benefits of joins, DML and DDL commands are covered in this module. It also teaches types of joins, nested queries, triggers, domains and their benefits.   


    Database andNode (with Capstone Projects) by Perfect E-Learning: This intermediate-level course teaches all about MongoDB and Mongoose. Mongoose and MongoDB is a popular NoSQL database choice, with their smooth combination with Node. It teaches technical concepts like browser JS, creating cookies in Express, REST API creation, creating the first model, Node OS, and the difference between NoSQL and SQL DB.


    Python + DS +ML (Bundle) by Perfect E-Learning: OK Google developer has designed this course to teach Python. It is the most favored programming language for creating data structures and machine learning. The course will teach students to create machine learning apps.    


Best Jobs for a Career in the Data Science Industry

If you are considering building a career in Data Science, here is a list of top job opportunities.

    Data Scientist: This position is relatively technical as compared to data analyst. Data Scientists must prepare the data by cleaning, organizing and classifying it so that the companies can take strategic judgments.

Top management uses organized data to make data-driven decisions. They handle larger data sets to discover a pattern or trend. They mine data to drive product and process improvement and help in cost-cutting and quality maintenance.    

Quoting Glassdoor, the average salary of a Data Scientist is $126,468 per annum in the USA, £55,254 per annum in the UK, and ₹100,000 per annum in India.


Salary: DataScientist (April, 2023) | Glassdoor

Salary: DataScientist (April, 2023) | Glassdoor

Salary: DataScientist (April, 2023) | Glassdoor


    Machine Learning Engineer: Major work of a Machine Learning Engineer is to create data funnels and deliver software-based solutions. They are responsible for running tests and experiments to report the functionality and performance of the system. They turn theoretical models into functioning models.

    Quoting Glassdoor, the average salary of a Machine Learning Engineer is $132,615 per annum in the US, £64,970 per annum in the UK, and ₹100,000 per annum in India.

     Salary: MachineLearning Engineer (April, 2023) | Glassdoor

     Salary: MachineLearning Engineer (April, 2023) | Glassdoor

     Salary: MachineLearning Engineer (April, 2023) | Glassdoor

    Data Analyst: They are responsible for solving all data-related problems. They research and use data to find optimum solutions for minimizing turnover, streamlining logistics, optimizing profit, and solving business processes.

They scrutinize complex data like sales figures, assets, balance sheets, and consumer behavior. Their main job is to provide faster, more productive, simple, and cost-effective solutions. Data Analysts must maintain the accuracy and quality of data.     

   Quoting Glassdoor, the average salary of a Data Analyst is $70,272 per annum in the US, £37,972 per annum in the UK, and ₹610,000 per annum in India.

          Salary: DataAnalyst (April, 2023) | Glassdoor

          Salary: DataAnalyst (April, 2023) | Glassdoor

          Salary: DataAnalyst (April, 2023) | Glassdoor

    Data Engineer: Their job is to explore, interpret and transform complex and large datasets into something easily understood and analyzed. Data Engineers maintain, develop, and test all the infrastructure committed to data generation. They must work with data scientists to get the necessary data.


Data Engineers are architects of data-driven solutions. They help automate manual work, optimize data delivery and redesign infrastructure for greater scalability.   


Quoting Glassdoor, the average salary of a Data Engineer is $115,339 per annum in the US, £54,256 per annum in the UK, and ₹880,000 per annum in India.


Salary: DataEngineer (April, 2023) | Glassdoor

Salary: DataEngineer (April, 2023) | Glassdoor

Salary: Data Engineer (April, 2023) | Glassdoor


    Data Architect: They help companies to expand their market and grow. Their main job is managing, organizing, and storing vast data in expensive electronic databases.


Data Architects are responsible for creating comprehensive yet simple databases that the entire organization can use easily. They study their employer’s needs and the scope of data infrastructure to suggest needed upgrades and changes.    

Quoting Glassdoor, the average salary of a Data Architect is $73,692 per annum in the US, £78,767 per annum in the UK, and ₹1,024,029 per annum in India.
Salary: Data Architect (April, 2023) | Glassdoor


Almost every problem in the present world is solved by data. Data-driven decisions are considered optimal and correct. Data science helps make sense of large datasets but helps identify patterns and spot trends for present and future uses. The real-time functional models pave the way for automation. Big data is the century's innovation that has endless possibilities in fields like business processes, daily commerce, consumer buying, marketing, healthcare, automation, infrastructure, etc. The pragmatic choice is upgrading the skill set to profit off the next big thing.  


PerfecteLearning is a tech-enabled education platform that provides IT courses with 100% Internship and Placement support. Perfect eLearning provides both Online classes and Offline classes only in Faridabad.


It provides a wide range of courses in areas such as Artificial Intelligence, Cloud Computing, DataScience, DigitalMarketing, FullStack WebDevelopment, BlockChain, Data Analytics, and Mobile ApplicationDevelopment. Perfect eLearning, with its cutting-edge technology and expert instructors from Adobe, Microsoft, PWC, Google, Amazon, Flipkart, Nestle and Infoedge is the perfect place to start your IT education.

Perfect eLearning in Faridabad provides the training and support you need to succeed in today's fast-paced and constantly evolving tech industry, whether you're just starting out or looking to expand your skill set.


There's something here for everyone. Perfect eLearning provides the best online courses as well as complete internship and placement assistance.


Keep Learning, Keep Growing. 

If you are confused and need Guidance over choosing the right programming language or right career in the tech industry, you can schedule a free counselling session with Perfect eLearning experts.


Hey it's Sneh!

What would i call you?

Great !

Our counsellor will contact you shortly.