Data Science Jobs in 2023 you should know about!

Data Science Jobs 2023

In this blog, we are going to discuss the leading data jobs in demand for the coming year along with their average annual salary.

With the advent of AI and machine learning, data scientists are becoming more and more important. They not only analyze the data but also create algorithms that can be used to automate various processes. 

Data jobs are in demand because of the rapid growth of big data and analytics. There are many use cases where AI is assisting the work of a data scientist by automating various tasks. 

AI is being used to automate tasks like predictive modeling, natural language processing, and image recognition among others. It has also been able to offer insights into customer behavior and purchasing patterns which have helped increase conversion rates for businesses who use it. 

1. Data Scientist 

The data scientist is a professional who has knowledge of statistics and programming, as well as strong data analysis skills. The demand for this position is constantly increasing in the market. 

  • A data scientist should have a strong background in mathematics and statistics, computer science, and domain expertise in the industry they are working in. 
  • A data scientist should also be good at analyzing large amounts of structured and unstructured data which can be used to make predictions about future outcomes. 
  • Data scientists are also expected to have excellent communication skills as they will need to present their findings to other members of their team. 

Anecdotal evidence suggests that most of the work in a data science project is spent on data wrangling and feature engineering. 

Descriptive and predictive analytics are only partial aspects of data scientists’ work. Some data scientists might work in the realm of deep learning, performing iterative experiments to solve a complex data problem by using customized algorithms. 

Salary: An average annual salary for a data scientist is $124,285.

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2. Data Engineer

Data engineers are in charge of designing and implementing data processing, analysis and reporting. They work with a team of experts to solve complex problems. 

  • Data engineering is one of the fastest-growing careers in the tech industry as companies strive to take better advantage of their data assets. 
  • This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages. 
  • Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

Data engineers and data scientists often work closely together but serve very different functions. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. 

Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Salary: An average annual salary for a data engineer is $111,122.

3. Machine Learning Engineer

The field of machine learning is on the rise and becoming increasingly popular among organizations. ML scientist job opportunities and the demand for ML in organizations are increasing. 

  • An ML engineer typically works as part of a larger data science team and will communicate with data scientists, administrators, data analysts, data engineers, and data architects. 
  • Machine learning scientists can work in any industry from healthcare to finance, but the most popular industries are those that rely heavily on big data. 
  • Machine learning scientists play a crucial role in their organization because they have the technical knowledge to design, implement, and maintain algorithms for machine learning projects. 

In order to become a machine learning scientist, you will need to have extensive knowledge of statistics and computer science principles. 

Salary: An average annual salary for a machine learning engineer is $115,786.

Data Science Jobs 2023(1)

4. AI Engineer

Artificial intelligence engineer is one of the most in-demand jobs in the market. It is a high paying job, and one that will continue to grow as businesses use AI to make decisions. 

To mention the tasks of an AI engineer, is mainly responsible for powering innovative applications based on AI by using machine learning techniques. Moreover, an AI Engineer should have an understanding of the following:

  • Machine Learning and Artificial Intelligence. 
  • Neural Networks. 
  • Natural Language Processing. 
  • Robotics. 
  • Visual Image Recognition. 
  • Autonomous Driving. 

The demand for artificial intelligence engineers can be attributed to the fact that there are not enough people with this skill set available for hire. There are only about 8,000 artificial intelligence engineers in the India, but more than half of all companies are looking for them. 

Salary: An average annual salary for an AI engineer is $126,639.

5. Business Analyst

A business analyst is a person who has a deep understanding of the company’s operations. They are often responsible for analyzing and interpreting data in order to provide insights for the organization. 

Business analysts may work with many different departments, including marketing, finance and IT. They may also work on projects that require them to work across different departments. 

Business analysts identify business areas that can be improved to increase efficiency and strengthen business processes. They often work closely with others throughout the business hierarchy to communicate their findings and help implement changes.

Their day-to-day includes:

  • Identifying and prioritizing the organization’s functional and technical needs and requirements
  • Using SQL and Excel to analyze large data sets
  • Compiling charts, tables, and other elements of data visualization 
  • Creating financial models to support business decisions

Salary: An average annual salary for a business analyst is $81,682.

6. Data Analyst

Data analysts are in high demand, and the demand for data analysis is increasing in organizations. The data analyst job market is expected to grow at a rate of 18% by 2024. 

The reason for this is that companies need to analyze big amounts of data and turn them into insights to make better decisions. Data analysts are responsible for analyzing the data and turning it into insights that are valuable for the organization. 

They use their skills in statistics, mathematics, computer science, and other related fields to do this job. 

Salary: An average annual salary for a data analyst is $71,630.


If you’re looking to get the skills to excel in Data Science roles, then check out our Data Science program here.

Read more such blogs here. Explore our A-Z blog page for even more Data Science related insights.

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