Securing an employment opportunity is not always a walk in the park. Your qualities must stand out among many fellow applicants, which is even more true in the tech sector. If you are looking to get jobs that use data science, you must know how different positions adopt the use of data science.
Due to the various data science-related jobs on the market, you must familiarize yourself with science roles that match your skills. This guide will provide a deep insight into the different data science jobs available. Depending on your business background and employment level, you’ll be able to excel in a brand new career field.
What Is Data Science?
Data science is an interdisciplinary field that employs different scientific methods, processes, and algorithms to provide knowledge and insights from noisy, structured, and unstructured data. Many companies apply data science practices and techniques in a wide range of industries. There are several similarities between data science and machine learning, data mining, and big data.
This concept unifies data analysis, statistics, and other related methods to assess real-world phenomena with data. Data science encompasses several techniques from different fields within management systems, artificial intelligence, business processes, business intelligence, business analytics, and programming languages.
Is Data Science in High Demand?
Yes, data science is in high demand because it allows companies to make data-driven decisions. Besides the fact that data science can help you gain knowledge about various processes and behaviors, it can also write algorithms that can quickly process large amounts of information quickly and efficiently. Additionally, data science is essential for companies to increase their data security and privacy level.
Types of Data Science Jobs
Data science has multiple applications in various fields, such as machine learning, statistics, and computer science. For a newbie in the field, it can be daunting at first. However, different roles are tailored to your ability and explained in more detail below.
Machine Learning Engineer
A machine learning engineer adopts a machine learning model that produces several top-quality data-driven products, while also answering operational questions for a company. Several companies have data as their product.
Data Engineer
These science professionals are involved in helping companies set up several data infrastructures that will ensure that the companies keep moving forward, especially when such companies have lots of traffic. For this position, several job postings are listed under both data engineer and data scientist.
Data Science Generalist
Companies hire these generalists to join an established team of data scientists. As a data science generalist, even though your dream company cares a lot about data but is not a data company, you can carry out analysis and visualize data. Excellent science skills are required to be one.
How to Establish a Career in Data Science
If you wish to build a career in data science, you must know how to apply data science techniques across several science careers. For this reason, if you want to know how to establish a career in data science, the following steps can act as your guide.
- Get an undergraduate degree. Formal education, such as a degree in mathematics and statistical analysis, are educational requirements to kick-start a career in data science. In other words, having a good educational background is an essential requirement for a career in data science.
- Build your skills. Several advanced degrees can improve your skills, including critical thinking, technical skills, analysis skills, and communication skills. Building your skills provides you with extensive knowledge of relevant terms in the science field.
- Study programming languages. It is crucial to build your programming skills to build a career in data science. You can do this through online practice projects, coding bootcamps, or college courses.
- Learn from experts in the field. Understanding the relevant terms and arming yourself with the right knowledge, especially from experts with vast experience in the field, will greatly benefit your data science journey.
- Design an online portfolio. Building an online portfolio will display your specialized skills, through completed projects, to potential employers.
The 15 Best Jobs That Use Data Science
Among common job titles, data science jobs pay top dollar for professionals. Regardless of your experience level, you will always find a data science role tailored to your satisfaction if you search hard enough. For this reason, we’ve included the top jobs that use data science in more detail below.
| Job Title | Average Salary | Job Outlook |
|---|---|---|
| Data Scientists | $69,000 | 22% |
| Software Architect | $96,102 | 22% |
| Machine Learning Scientist | $134,000 | 22%* |
| Database Developers | $81,457 | 8% |
| Business Intelligence Developers | $84,204 | 22%* |
| Business Data Analyst | $69,841 | 25% |
| Business Intelligence Managers | $117,132 | 14% |
| Business Systems Analysts | $91,789 | 7% |
| Marketing Analyst | $54,064 | 22% |
| Analytics Managers | $115,119 | 14%* |
| Business Analyst | $82,343 | 14%* |
| Data Warehouse Analyst | $109,120 | 8%* |
| Chief Information Officer | $152,104 | 8% |
| Software Engineer | $86,000 | 22%* |
| Database Administrator | $74,168 | 8%* |
*All job outlook statistics have been sourced from the US Bureau of Labor Statistics.
What Careers Use Data Science? An In-Depth List
Data Scientists
Data Scientists are interested in turning data into value. Their job responsibilities involve building artificial intelligence tools that promote automation and analyzing data for improved business performance. A senior data scientist is responsible for overseeing the activities of junior data scientists while providing expertise for the adoption of advanced data science and analytics.
Software Architects
Software architecture involves making top-level design choices and dictating technical standards, including software coding standards, tools, and platforms. Software architecture requires broad technical knowledge to assist in data-driven decisions impacting the organization’s goals.
Machine Learning Scientists
These are science professionals specializing in researching new data manipulating approaches and designing new algorithms that professionals can use. They are a relevant component of the Research and Development department and focus on machine learning, artificial intelligence, and coding.
Database Developers
Database developers focus on ensuring that database management systems (DBMS), including database design, can handle massive quantities of data. This science job title involves programming, developing, and implementing database systems. They also ensure that the database maintains integrity and security.
Business Intelligence Developers
Business intelligence developers use data science and analytics to share valuable business knowledge and information with decision-makers within their organizations. This science job title ensures the creation and maintenance of company software tools that professionals can use to enhance business management.
Business Data Analysts
These data-oriented professionals often work as agents who ensure technology and processes align within the business. A business data scientist is concerned with the constant review and analysis of the company’s data, and based on this, suggests optimizations in products, processes, and technologies.
Business Intelligence Managers
A business intelligence manager is in charge of managing data analysts and developers. This science job title may assume various roles, including assessing company needs and using business trends to gather information. They also understand business requirements while overseeing performance management in their department.
Business Systems Analysts
Business systems analysts deliver various initiatives and projects related to technological solutions and business processes. Their hands-on experience and actionable insights ensure that they can use different data to develop strategies to help achieve company goals.
Marketing Analyst
These professionals help organizations decide the products and services to provide for sale while considering the customers and the right price. They make their conclusions by expertly studying competitors’ activities, market conditions, and consumer behavior.
Analytics Managers
These science professionals spend time developing and executing various strategies to transform raw data into business insights, which can assist in data-driven decision-making and use analysis tools to promote appropriate strategic planning across top levels of the business.
Business Analysts
These professionals identify relevant business areas that can improve to achieve increased efficiency while strengthening business processes. This science job title involves working closely with others throughout the business hierarchy to promote business communications and help implement changes.
Data Warehouse Analyst
A data warehouse analyst is responsible for helping the business take advantage of the information stored in data warehouses. This science job title requires extensive knowledge of data structures, statistical analysis, and SQL skills. According to ZipRecruiter, this position’s annual salary sits at $109,120.
Chief Information Officer
This high-ranking executive member of a company is responsible for implementing and managing information and computer technologies. They also manage IT staff and set departmental goals. According to Zippia, their annual salary is $152,000.
Software Engineer
A software engineer specializes in designing and creating various computer systems and applications that can tackle real-life challenges. These professionals, often referred to as software developers, adopt their deep knowledge of software engineering to develop software for computers and applications. Their annual salary is $86,000, according to Zippia.
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Database Administrator
Database administrators ensure top database performance to make it possible for data analysts and other users to acquire their information easily. They also ensure that systems perform as they should by monitoring database performance and providing support. They rake in an annual salary of $74,168, on average.
Should You Get a Job in Data Science?
Yes, you should get a job in data science. This highly sought-after field has plenty of opportunities for beginners. According to Harvard Business Review, companies that make data-driven decisions are about five to six percent more productive and profitable than their competitors. Data science will stick around for a long time, and the vast application of data science across various industries makes it a top career choice.
Jobs That Use Data Science FAQ
No, data science jobs are not only available for science students. Even if you do not have a clearer understanding or an advanced degree in coding, database design, or statistical analysis, you can be a data scientist with good learning capabilities and the right science program.
Yes, data science jobs pay well. You will come across several high-paying jobs in this career field. For instance, the average salary of a chief information officer is $152,104.
Yes, bootcamp training courses help secure data science jobs. Online bootcamps offer coding courses and empower you with in-demand skills employers search for in potential applicants. You can enhance the chances of kick-starting your data science career by completing these programs in your job search.
No, you don’t need years of working experience to secure a data science job. With the right skills and expertise listed on your resume, you will find the right entry-level job tailored to your demands.
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