Nobody switches careers more frequently, and it is natural to explore the most rewarding careers when you are just starting out or even looking to switch your career for a long term. In these scenarios, it is best to rely on career options that are stable, growing, and pay well.
If we look at the current situation, jobs in the tech industry particularly in the fields of data science, artificial intelligence, cybersecurity, etc. are growing rapidly. In this article, we will be talking about the great career opportunities and most lucrative data science jobs offered in data science.
Data Science at a Glance
To give an overview, data science refers to the field of work or study, in which huge amounts of data are collected, cleaned, filtered, analyzed, and presented in a clear and concise manner to assist in data-driven decision-making.
Right from identifying the business problem to building a working data science model, data scientists must perform a lot of tasks in accomplishing the end-to-end project. There are several data science professionals involved at each stage of building an effective model and for these roles, they are paid handsome salaries as well.
Top Data Scientist Jobs for A Rewarding Career In 2024
The Data Science industry is growing at a huge rate. According to the US Bureau of Labor Statistics, the jobs requiring data science skills will grow by 28% by 2026. If you are exploring different job opportunities in the data science career path, then you must consider the following data science jobs for a successful career in 2024 and beyond.
1. Data Scientists
Data Scientist is a multifaceted role who is responsible for performing a lot of tasks in any data science project. They must communicate with the business leaders to identify specific business problems, identify business pain points, and work to find their solutions.
As a data scientist, you need to be proficient in computer knowledge, should have strong business acumen, and must be good at mathematics and statistics to perform various kinds of data science tasks.
Annual salary: $100,000 – $200,000
2. Data Analyst
Their job is to collect, analyze, evaluate, review, and organize data. They often need to organize the data properly and perform statistical analysis on the data to predict patterns and figure out the trends which are further used to solve business problems either within the organization or for clients. Their job is crucial in making data-driven and informed decisions.
Annual salary: $62,000 – $95,000
3. Data Engineer
Data Engineers are responsible for building and maintaining the systems and infrastructure that are used by data scientists to store, process, and analyze data. They basically design the data pipeline and ensure quality data is available for working on data science projects. They often work closely with data scientists to understand their specific data needs and develop solutions to meet those needs.
Annual salary: $89,000 – $100,000
4. Machine Learning Engineer
Machine Learning Engineers build and deploy various machine learning models that are used to solve real-world problems. Just like data engineers, they are also close aid to data scientists who optimize models for performance and scalability. They must have strong programming skills and should be familiar with popular programming languages such as Python, R, Java, etc. They must also have a strong understanding of machine learning frameworks like TensorFlow, PyTorch, and others.
Taking advantage of different data science courses available in the market, you can master the skills required to become a machine learning engineer.
Annual salary: $100,000
These data science professionals apply statistical techniques to analyze and interpret data. They have an important role in experimental design and data sampling. Because of their skill in mathematics and statistics, they are vital in drawing meaningful insights out of raw data. As a statistician, you must be proficient in statistical software such as R, SAS, etc.
Annual salary: $73,000 – $100,000
6. Business Intelligence Analyst
A Business Intelligence Analyst is responsible for transforming data into actionable insights that ultimately help in data-driven decision-making. They have to create and maintain Business Intelligence dashboards and use SQL, and other data warehousing skills to perform their day-to-day tasks. They often need to collaborate with business stakeholders. They must have a deep understanding of business processes to efficiently deliver their job responsibilities.
Annual salary: $76,000 – $100,000
7. Artificial Intelligence Research Scientist
AI Research Scientists also an important role in the data science career. They focus on making AI techniques more advanced through research and innovations. They are responsible for developing new algorithms and models. They collaborate with cross-functional teams, have a strong background in machine learning, are proficient in programming languages, and are research-oriented in their role.
Annual salary: $100,000 – $200,000
Data Science is undoubtedly one of the best career options to consider in 2024. In fact, it has been ranked the fifth fastest-growing job by the World Economic Forum. The different job roles discussed above are in high demand and pay huge annual salaries. So, why wait? Get certified, learn the required skills, and start your journey in these great data science job roles.
*Note: Salary refers to the annual average salary range in the US and is sourced from Glassdoor