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Finding and applying for any job position takes time and energy. However, when personal interest is taken into account, the searching process gets even more tricky. Finding the right job for you in the field of your choice, for which you are qualified and happy with the salary provided, can feel overwhelming. You have to first figure out what you want and then look for that specific job position that will give you just that.

But no worries, this is where we come into play. We’re here to introduce you to the various data science careers, what each profession requires from you, the estimated future demand levels of the job, as well as the average salary you can expect

What Is Data Science?

Let’s begin by defining what data science is. As a term, data science encompasses many subfields, such as statistics, machine learning, data analysis, computer science, and many others. Therefore, data science can be defined to be the field of study that combines various skills in programming, mathematics, statistics, and domain knowledge in order to extract information from data.

Data science professionals also apply various algorithms to pictures, videos, audio, or texts to produce systems that generate insight and then use it to improve the business.

Data Science Jobs

With the huge amount of data that is produced daily, a lot of work is required in order to gather, analyze, and then use that data to make informed business decisions. Because of this, there are various data science positions available. Each one handles the data in different ways, and we will explain each one in the following paragraphs.

Data scientist

A data scientist is a professional whose focus is on applying the knowledge gathered from the data to find useful patterns. As a data scientist, your responsibilities include taking the information gathered from data analysts one step further and applying it to systems in order to identify any weaknesses, anomalies, or repetitive patterns that could benefit the company in marketing or decision-making.

Data scientist job outlook

The demand for data scientists continues to be enormous, and many sources suggest that this isn’t going to change any time soon. The Grand View Research predicted that the global data science platform is expected to expand 26.9% from 2020 to 2027. With this increase in the market, an increase in data science jobs is inevitable as well. So, the U.S. Bureau of Labour Statistics has predicted that between 2019 and 2029, a 15% rise in the data science industry should be expected.

Data scientist salary

The average salary for a data scientist in the U.S. is $120,234 per year. However, you should have in mind that any salary we mention can vary based on the company where you work, the location, your experience, and your skill level.

Machine learning engineer

machine-learning-engineer

This data science position is somewhat similar to data scientists because they also work with information extracted from data. Machine learning engineers, however, have responsibilities to design software in order to automate predictive models. The software created uses the results of previous actions to operate with more accuracy in the next actions, thus enabling the machine to learn.

Machine learning job outlook

The machine learning engineer market is expected to grow 44.06% from 2017 to 2024, projected to reach almost $31 billion.

Machine learning engineer salary

The average salary for a machine learning engineer in the U.S. is $150,617 per year.

Applications architect

Application architects, also known as software architects, are people that are responsible for operating the systems. Their tasks include monitoring the data systems, making design choices, and enforcing software coding standards.

Applications architect job outlook

The profession of applications architect is expected to increase in growth by only 1 percent from 2019 to 2029.

Applications architect salary

The average salary for a software architect in the U.S. is $136,015 per year plus a $10,000 cash bonus each year.

Machine learning scientist

Machine learning scientists are professionals who do research on new ways they can gain a better understanding of the problems they face. Then, they also help design, maintain and extend new software and algorithms to provide solutions to those problems. Throughout all these processes, they share detailed reports related to the current state of the software.

Machine learning scientist job outlook

Data science-related jobs that deal with software systems, such as machine learning scientists, are projected to grow 22% from 2019 to 2029.

Machine learning scientist salary

The average salary for Machine Learning Scientist in the U.S. is $135,162 per year.

Data architect

Data architects are workers who help transition business requirements into technology ones, such as sets of data, databases, and warehouses. They are responsible for designing and presenting visually the data management framework of the company.

Data architect job outlook

Jobs opportunities for data architects and administrators are projected to grow 10% between 2019 and 2029.

Data architect salary

The average salary for a data architect in the U.S. is $126,570 per year.

Business intelligence developer

BI developers help provide accessible information through the development of reporting systems. They use reports, analyses, and data visualizations from warehouse data in order to solve organizational problems and aid the company in the decision-making process.

Business intelligence developer job outlook

The Business intelligence developer field is expected to grow 9% from 2018 to 2028.

Business intelligence developer salary

The average salary for a BI developer is $97,545 per year.

Data engineer

A data engineer’s job is to transform data into simpler formats. They have to organize, process and classify data from various sources. They are also responsible for finding patterns in the sets of data they analyze.

Data engineers work closely with data scientists and BI developers, by creating data pipelines that transport the data for the other professionals to use.

Data engineer job outlook

Data engineering is one of the fastest-growing data science jobs since according to DICE’s 2020 Tech Job Report, this profession is growing by 50% year-over-year.

Data engineer salary

The average salary for a data engineer is $126,993 per year.

Data analyst

data-analyst

As a data analyst, it’s your responsibility to help develop and maintain databases and collection systems. You also need to gather data, organize, and process it so that it is easier to understand by the professionals of other fields who have to deal with it later on.

Data analyst job outlook

The U.S. Bureau of Labor Statistics reports that data analyst jobs will grow 20% from 2018 to 2028.

Data analyst salary

The average salary for a data analyst in the U.S. is $69,869 per year.

Database administrator

This profession would require you to manage the computer systems responsible for storing and classifying the data of the company. While doing so, you would also need to help secure the databases, merge them when necessary, and be able to help restore it in case it is lost.

Database administrator job outlook

The employment of database administrators is expected to grow 10% from 2019 to 2029.

Data administrator salary

The average salary for a data administrator in the U.S. is $49,885 per year.

There are many options you can choose from if you are determined to work with data. From gathering it to classifying, analyzing, or using it to create predictive models, data science offers you a variety of careers, all dealing with the same thing in very different ways. While picking your perfect data-related profession, have in mind all the previously mentioned information, and choose whichever one you believe will bring you the most satisfaction and success.

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