Top 10 Data Science Job Roles in 2024

Data Science is a field whose demand is increasing rapidly worldwide. New possibilities are being created due to technological development in the digital world. Innovations are happening worldwide at breakneck speed and the digital future is becoming increasingly exciting.

Nowadays, many fields are leaning towards analytics. Data collectors are preparing for our future in the digital world and changing the economy, society, and politics. Big companies are paying more attention to data collection, for the analysis of which data scientists are required. There is a huge demand for qualified professionals in this field. The salary is also excellent. Through this article, we will know everything about the Data Science career. So let’s start

What is Data Science

 

Data science is like a mix of knowing a lot about a specific field, being good at computer stuff, and understanding numbers. This helps data scientists find important information from data. They use computer programs that can learn from different types of data, like numbers, words, pictures, sounds, and more. With these programs, they can make smart machines that can do tasks that usually only people can do. These smart machines find useful information that can help businesses in real ways.

Data Science Eligibility

To do a Graduate Diploma in Data Science, the candidate must have passed 12th with Physics, Chemistry, and Maths. After this one gets admission in a postgraduate course in this field. To become a data scientist, PG courses can be done in Computer Science, Maths, Statistics, Applied Science, Electrical Engineering, and Mechanical Engineering. For career advancement, you can also do a PhD in Data Science.

 

Technical Skills for Data Scientists

 

To move ahead in this field, apart from Python coding, R programming, and Artificial Intelligence, learn various techniques of machine learning like Logistic Regression, Decision Tree, Supervised Machine Learning, Time Series, Computer Vision, Outlier Detection, Survival Analysis, Natural Language Processing, etc. is important. Data Scientists must also be skilled in the Hadoop platform and Structured Query Language (SQL).

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Our Data science online course curriculum is thoughtfully designed to encompass the skills required for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach, combining practical exercises, research, and assignments to provide you with a well-rounded and practical learning experience.

 

Jobs in the Data Science Sector

 

Many job options are available after doing a data science course. Eligible candidates can work on the posts of Data Analyst, Software Tester, Data Scientist, Senior Information Analyst, Senior Data Officer, Business Analyst, Information Officer, and Assistant Analyst. Apart from this, there are many employment opportunities in the private sector. Many companies in the bank, insurance, e-commerce, telecom, finance, utility, and pharma sectors offer jobs to data experts.

 

1. Data Scientist       

 

A data scientist is like a data detective. They’re good at looking at information and figuring out important things. The main job of a data scientist is to study data, create models with it, take pictures to understand it better and draw conclusions from it.

These data experts can work in different areas like money, health, advertising, and more. They help people make sense of a bunch of information. Data Science is a very good career option in India. Many jobs are provided in the field of Data Science in India. You can apply for any job as per your qualifications.

Roles and Responsibilities

• Analyzing data using information stored in the data
• Leveraging data to enable new and better decision-making.
• Ensuring the maximum possible utilization of the database by using data analysis tools and techniques.

Average Salary:

5 To 6 Lacs per Annum for Freshers.

 

2. Data Engineer       

 

The job of a data engineer is to develop the data pipeline. For this, you should have a good understanding of programming language and data management. AI Software Engineer- The architecture of AI applications is developed by AI software engineers only. You should have programming and analytical skills to make a career in this.

Roles and Responsibilities

• create systems that collect, manage, and convert data into usable information for data scientists and business analysts to interpret.
• Before starting any work on the database, they have to get the data from the right sources. After preparing a set of dataset processes, data engineers store the optimized data.
• Data engineers deal with research in the industry to solve any problems that may arise while dealing with a business problem.
• make data accessible so that companies can use it to evaluate and optimize their performance.

Average Salary:

5 To 6 Lacs per Annum for Freshers.

 

3. Machine Learning Scientist       

 

Machine learning scientists are like architects for AI systems. They create and use special algorithms that make AI smart. They team up with data experts and engineers to build self-thinking AI programs. Then, they test these programs to make sure they make accurate guesses. They also check if the programs can understand big sets of old data.

Their job is super important because they make the rules for AI. If there’s even a tiny mistake in these rules, the whole AI system can get messed up. But when they get everything right, businesses can use AI to figure out what customers like, predict health needs, or make HR tasks easier.

Roles and Responsibilities

• Design special algorithms that help AI systems make smart decisions. It’s like making the brain of the AI.
• Build programs that can learn and understand from lots of information.
• Making sure the AI is doing its job correctly.
• Make sure the rules (algorithms) for the AI are perfect. because a small mistake can cause big problems.
• Build the brains for AI, team up with data experts, test the AI and make sure it follows the right rules.

Average Salary:

4 To 5 Lacs per Annum for Freshers.

 

4. Machine Learning Engineer       

 

A machine learning engineer is like a tech expert who focuses on making smart machines. They use their time to understand information, and make, and build machines that can learn and make predictions by themselves. These machines are part of artificial intelligence (AI).

These engineers work between two groups: the data scientists, who are experts in statistics and building models, and the folks who make the machine learning and AI systems.

Roles and Responsibilities

• work on handling information and creating smart systems.
• Build pipelines that automatically turn messy data into useful insights using machine learning.
• Create models using new methods to make products better and improve health outcomes.
• use coding to make regular tasks automatic.
• work with different teams to put in place useful data and measurements that can be used again and again.

Average Salary:

4 To 5 Lacs per Annum for Freshers.

 

5. Database Administrator      

 

A database administrator (DBA) is a specialized computer system administrator who maintains a successful database environment by directing or performing all related activities to keep data secure. The top responsibility of a DBA professional is to maintain data integrity. This means that the DBA will ensure that the data is protected from unauthorized access but is available to users.

Database administrators often have knowledge of a wide range of Oracle-based software, and database management products such as ASP and SQL, in addition to obtaining a degree in computer science and practical field experience and additional, related IT certifications. Will have knowledge and experience of working with.

Roles and Responsibilities

• Make sure all the information stored in a database is safe and secure from any problems or unauthorized access.
• Assist people in using the database, making it easy for them to find and save information.
• If something goes wrong with the database, they’re like the problem solvers. Figure out the problem and fix it.
• Make sure the database works well all the time, without any hiccups, so that people can rely on it.

Average Salary:

7 To 8 Lacs per Annum for Freshers.

 

6. Data Architect      

 

Data architects are like information experts in the IT world. They have the job of deciding how a company should gather, organize, store, and find information.

Data architects create a plan for how a company manages its information. They determine the quality standards for data, how it moves around within the company, and ways to keep it safe. They’re the ones who translate what a business wants into specific technical instructions.

Being the important connection between business and technology, more and more companies are looking for skilled data architects.

Roles and Responsibilities

• Make a blueprint for how a company deals with its information.
• Decide on the rules for how good the data should be.
• Figure out how data should move around within the company.
• Work on ways to keep the data safe from any problems or unauthorized access.

Average Salary:

5 To 7 Lacs per Annum for Freshers.

 

7. Statistician     

 

The importance of statistics is not hidden from anyone in the life of the common man as well as special people. This is the most important thing in everyday life, on which the budget of the entire house, family, society, state, and country is determined. Therefore, even if not completely knowledgeable about it, everyone should have some knowledge and understanding.

In general, statistics is that part of mathematics in which data i.e. collection, display, classification, and assessment of its properties is studied. Statistics is a mathematical science, in which data related to any project/component/system/community is collected, analyzed, explained or interpreted, and presented.

Roles and Responsibilities

• Check out lots of numbers to find helpful info.
• Use their skills to make smart guesses about what might happen next based on data.
• Give advice by looking at data, so others can make smart decisions.
• Come up with ways to gather info, like doing surveys or experiments.
• Make sure the numbers and data they work with are accurate and reliable.

Average Salary:

2 To 3 Lacs per Annum for Freshers.

 

8. Data Analyst      

 

Data Analysts are those professionals who have good knowledge of MS-EXCEL programming, statistics, applied mathematics, and computers. They can visualize any type of data in a better way. Indian Institute of Management addresses data analysts as data miners. In the corporate world, they are also known as Data Analyst and Data Scientist.

Data analysts dig into the complicated information given by different areas to find important details. They also figure out why a company might be doing worse or what new projects could make the company more successful.

Roles and Responsibilities

• Go through a lot of information to find the important stuff.
• Figure out patterns or trends in the data.
• Assist in making good choices by providing insights from data.
• Put together reports to share what You find.
• Make sure the numbers and data you use are correct.
• Tell others what you discover, making it easy to understand.

Average Salary:

2 To 3 Lacs per Annum for Freshers.

9. Data Storyteller       

 

Data storytelling means turning complicated data and analysis into an interesting and clear story. This story is designed to influence and inform a specific group of people.

Roles and Responsibilities

• Create a good story with the help of data, that makes sense and is easy to understand.
• Help others understand patterns or trends in the data.
• Make pictures or graphs to show the information in a clear way.
• Make your data usefull and interesting, then use and share it with others.
• Ensure that the data is not just numbers but has a real impact, helping with decisions and understanding.

Average Salary:

2 To 3 Lacs per Annum for Freshers.

10. Business Intelligence Developer     

 

A Business Intelligence Developer is a bit like a company detective. They collect info from different parts of the business to help companies make smart choices. Using tools and coding, they turn raw data into easy-to-read reports and graphs. These help the company know what to do next.

Roles and Responsibilities

• Gather information from different parts of the business.
• Assist in making wise decisions for the company.
• Use special tools and coding to turn raw data into easy-to-read reports and graphs.
• Show important information that guides the company in the right direction.
• Act a bit like detectives, figuring out what’s happening in the business.

Average Salary:

4 To 5 Lacs per Annum for Freshers.

Conclusion:

 

Data science jobs offer promising opportunities. As businesses rely more on data, skilled professionals are in high demand. Roles like data analysts, scientists, and engineers are essential for interpreting information, making informed decisions, and solving complex problems. Pursuing a career in data science opens doors to diverse and rewarding job prospects.

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In this Data science online course You will solve 75+ projects and assignments across the project duration working on Stats, Advanced Excel, SQL, Python Libraries, Tableau, Advanced Machine Learning, and Deep Learning algorithms to solve day-to-day industry data problems in healthcare, manufacturing, sales, media, marketing, education sectors making you job ready for 30+ roles.

After doing the Digiperform Data Science online course, you can apply for all the posts mentioned above in this article. And to get your dream job Digiperform’s dedicated placement cell will help you with 100% placement assistance. 

We hope that you liked the complete information related to the Data Science job given in this article.