{"id":9583,"date":"2021-01-04T09:38:21","date_gmt":"2021-01-04T14:38:21","guid":{"rendered":"https:\/\/bau.edu\/blog\/?post_type=news&p=9583"},"modified":"2025-06-23T15:27:12","modified_gmt":"2025-06-23T19:27:12","slug":"data-science-careers","status":"publish","type":"post","link":"https:\/\/bau.edu\/blog\/data-science-careers\/","title":{"rendered":"Choosing a Data Science Career Path: All you need to know"},"content":{"rendered":"
\n\n<\/div>\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

But no worries, this is where we come into play. We\u2019re here to introduce you to the various data science careers<\/a>, what each profession requires from you, the estimated future demand levels of the job, as well as the average salary you can expect<\/p>\r\n\r\n\r\n\r\n

What Is Data Science?<\/h2>\r\n\r\n\r\n\r\n

Let\u2019s begin by defining what data science is. As a term, data science<\/a> 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.<\/p>\r\n\r\n\r\n\r\n

Data science professionals<\/a> also apply various algorithms to pictures, videos, audio, or texts to produce systems that generate insight and then use it to improve the business.<\/p>\r\n\r\n\r\n\r\n

Data Science Jobs<\/h2>\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

Data scientist<\/h3>\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

Data scientist job outlook<\/h4>\r\n\r\n\r\n\r\n

The demand for data scientists continues to be enormous, and many sources suggest that this isn\u2019t going to change any time soon. The Grand View Research predicted that the global data science platform is expected to expand 26.9%<\/a> 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<\/a> in the data science industry should be expected.<\/p>\r\n\r\n\r\n\r\n

Data scientist salary<\/h4>\r\n\r\n\r\n\r\n

The average salary<\/a> 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.<\/p>\r\n\r\n\r\n\r\n

Machine learning engineer<\/h3>\r\n\r\n\r\n\r\n
\"machine-learning-engineer\"<\/figure>\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

Machine learning job outlook<\/h4>\r\n\r\n\r\n\r\n

The machine learning engineer market is expected to grow 44.06%<\/a> from 2017 to 2024, projected to reach almost $31 billion.<\/p>\r\n\r\n\r\n\r\n

Machine learning engineer salary<\/h4>\r\n\r\n\r\n\r\n

The average salary<\/a> for a machine learning engineer in the U.S. is $150,617<\/strong> per year.<\/p>\r\n\r\n\r\n\r\n

Applications architect<\/h3>\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

Applications architect job outlook<\/h4>\r\n\r\n\r\n\r\n

The profession of applications architect is expected to\u00a0increase in growth<\/a>\u00a0by only 1 percent from 2019 to 2029.<\/p>\r\n\r\n\r\n\r\n

Applications architect salary<\/h4>\r\n\r\n\r\n\r\n

The average salary for a software architect<\/a> in the U.S. is $136,015<\/strong> per year plus a $10,000 cash bonus each year.<\/p>\r\n\r\n\r\n\r\n

Machine learning scientist<\/h3>\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

Machine learning scientist job outlook<\/h4>\r\n\r\n\r\n\r\n

Data science-related jobs that deal with software systems, such as machine learning scientists, are projected to grow 22% from 2019 to 2029<\/a>.<\/p>\r\n\r\n\r\n\r\n

Machine learning scientist salary<\/h4>\r\n\r\n\r\n\r\n

The average salary for Machine Learning Scientist<\/a> in the U.S. is $135,162<\/strong> per year.<\/p>\r\n\r\n\r\n\r\n

Data architect<\/h3>\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

Data architect job outlook<\/h4>\r\n\r\n\r\n\r\n

Jobs opportunities for data architects and administrators are projected to grow 10% between 2019 and 2029<\/a>.<\/p>\r\n\r\n\r\n\r\n

Data architect salary<\/h4>\r\n\r\n\r\n\r\n

The average salary <\/a>for a data architect in the U.S. is $126,570<\/strong> per year.<\/p>\r\n\r\n\r\n\r\n

Business intelligence developer<\/h3>\r\n\r\n\r\n\r\n

Business intelligence<\/a> 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.<\/p>\r\n\r\n\r\n\r\n

Business intelligence developer job outlook<\/h4>\r\n\r\n\r\n\r\n

The Business intelligence developer field is expected to grow 9%<\/a> from 2018 to 2028.<\/p>\r\n\r\n\r\n\r\n

Business intelligence developer salary<\/h4>\r\n\r\n\r\n\r\n

The average salary<\/a> for a BI developer is $97,545<\/strong> per year.<\/p>\r\n\r\n\r\n\r\n

Data engineer<\/h3>\r\n\r\n\r\n\r\n

A data engineer\u2019s 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.<\/p>\r\n\r\n\r\n\r\n

Data engineers work closely with data scientists and BI developers, by creating data pipelines that transport the data for the other professionals to use.<\/p>\r\n\r\n\r\n\r\n

Data engineer job outlook<\/h4>\r\n\r\n\r\n\r\n

Data engineering is one of the fastest-growing data science jobs since according to DICE\u2019s 2020 Tech Job Report<\/a>, this profession is growing by 50% year-over-year.<\/p>\r\n\r\n\r\n\r\n

Data engineer salary<\/h4>\r\n\r\n\r\n\r\n

The average salary<\/a> for a data engineer is $126,993<\/strong> per year.<\/p>\r\n\r\n\r\n\r\n

Data analyst<\/h3>\r\n\r\n\r\n\r\n
\"data-analyst\"<\/figure>\r\n\r\n\r\n\r\n

As a data analyst, it\u2019s 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.<\/p>\r\n\r\n\r\n\r\n

Data analyst job outlook<\/h4>\r\n\r\n\r\n\r\n

The U.S. Bureau of Labor Statistics reports that data analyst jobs will grow 20%<\/a> from 2018 to 2028.<\/p>\r\n\r\n\r\n\r\n

Data analyst salary<\/h4>\r\n\r\n\r\n\r\n

The average salary <\/a>for a data analyst in the U.S. is $69,869<\/strong> per year.<\/p>\r\n\r\n\r\n\r\n

Database administrator<\/h3>\r\n\r\n\r\n\r\n

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.<\/p>\r\n\r\n\r\n\r\n

Database administrator job outlook<\/h4>\r\n\r\n\r\n\r\n

The employment of database administrators is expected to grow 10%<\/a> from 2019 to 2029.<\/p>\r\n\r\n\r\n\r\n

Data administrator salary<\/h4>\r\n\r\n\r\n\r\n

The average salary<\/a> for a data administrator in the U.S. is $49,885<\/strong> per year.<\/p>\r\n\r\n\r\n\r\n

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<\/a>, have in mind all the previously mentioned information, and choose whichever one you believe will bring you the most satisfaction and success.<\/p>\r\n\r\n\r\n

 <\/p>\n\n

<\/div>","protected":false},"excerpt":{"rendered":"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…\n","protected":false},"author":17,"featured_media":9586,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":{"0":"post-9583","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-information-technology"},"_links":{"self":[{"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/posts\/9583","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/comments?post=9583"}],"version-history":[{"count":5,"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/posts\/9583\/revisions"}],"predecessor-version":[{"id":19354,"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/posts\/9583\/revisions\/19354"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/media\/9586"}],"wp:attachment":[{"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/media?parent=9583"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/categories?post=9583"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bau.edu\/blog\/wp-json\/wp\/v2\/tags?post=9583"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}