Last Updated on June 5, 2023 by Robin
With a Data Science Degree you can apply for these 12 jobs.
|Big Data Engineer||Data Analyst||Enterprise Architect|
|Big Data Project Manager||Data Architect||Machine Learning Engineer|
|Business Intelligence Analyst||Database Administrator||Software Applications Architect|
|Business Intelligence Developer||Data Scientist||Statistician|
12 Jobs A Data Science Degree Can Get You!
Each school has its own Data Science Bachelor’s or Master’s program but the common skills in their programs will give you what you need to have a solid foundation. Note that some roles will need more hands-on experience.
For four consecutive years, according to Glassdoor experts in the United States, Data Scientist is considered the number one job. In addition, the U.S. Department of Labor Statistics reported that by 2026, demand for big data will increase employment by 27.9%. Not only is there a huge demand, but there is clearly a shortage of data scientists. The job outlook is promising; the opportunities span multiple industry sectors and often the types of work offer flexibility for remote working.
1. Big Data Engineer
Big data engineers perform batch processing or actual processing of data collected and stored. They are also responsible for creating and maintaining data pipelines to create a reliable and interconnected data ecosystem within the company that allows scientists to access information.
2. Big Data Project Manager
Project managers with extensive experience and knowledge in advising internal and external clients can find their place in the world of big data. Because big data is currently wide open, project managers need to monitor trends in new areas such as corporate data management, data warehousing, and business intelligence, and then provide customers and senior management with advice on the direction of work on big data.
With all the possible changes and new commercial offers related to big data, marketing and sales skills are required to apply for a big data project manager job.
Project managers with experience in process development play an important role in adapting existing business processes to big data.
3. Business Intelligence Developer
Business Intelligence (BI) developers design and develop strategies to help business users quickly find the information they need to make better business decisions. They understand the data and use BI tools or develop their own BI analytics applications to help end-users understand their systems.
4. Business Intelligence Analyst
BI analysts often use data collected in a central data warehouse or multiple databases across the enterprise to design analysis and data models. This role combines complex skills such as programming, data modeling and statistics with transversal skills such as communication, analytical thinking, and problem solving. Applicants need comprehensive training to balance the boundaries between IT and business.
5. Data Analyst
Data analysts usually transform and processing of large amounts of data to make them suitable for the correct analysis of the company. For many companies, this role may include monitoring web analytics and analyzing A / B tests. Data analysts also support decision-making by creating reports for managers of organizations who can effectively communicate trends and knowledge gained through analysis.
6. Data Architect
Data architects create and manage company databases by defining installation structures and decisions. Work with administrators and database analysts to easily access corporate data. Activities include creating database solutions, assessing needs and creating design reports.
7. Database Administrator
As a database administrator (DBA), your responsibility lies with the performance, integrity, and security of the database. They participate in planning and developing databases and troubleshooting on behalf of users.
You will ensure the data across the entire database remains consistent and the data is clearly defined. You take care of the users that simultaneously access data that suits their needs. Also, take precautions to ensure security and control data recovery (to ensure access to all data in an emergency).
8. Data Scientist
Like analysts in other roles, data scientists collect and analyze data and communicate viable ideas. However, they are generally technical passages other than technical analysts. They are the ones who can understand the data from a more sensible perspective to make predictions. This position requires a thorough understanding of data analysis, including software tools, programming languages such as R or Python and data visualization capabilities to better present the results.
9. Enterprise Architect
Enterprise architects determine the direction and define methods for managing the business, improving IT infrastructure, and simplifying business operations. Enterprise Architect is working on the integration of information applications and business programs.
10. Machine Learning Engineer
Machine learning engineers create data funnels and provide software solutions. Generally, good statistical and programming skills are required, as well as software engineering knowledge. Not only do they design and build machine learning systems, they also conduct tests and experiments to monitor the performance and functions of those systems.
11. Software Applications Architect
Application architects must perform various tasks to ensure efficient and effective design, manufacture and testing of application software. By analyzing several vacancies in Application Architect, I found that most employers listed the following roles and responsibilities in the sector.
Most employers list the following responsibilities.
Supervise the application software development process: From product design to testing and modification, application architects are involved in every step of the software development process.
Technical support and training: Application architect offer disaster recovery, data integrity, and security solutions. They evaluate and recommend software technologies in these areas, evaluate alternative solutions, and analyze data infrastructure problems.
Statisticians collect numerical data to solve practical problems. These analytical assistants use mathematical and statistical methods to help companies, hospitals, research companies and government agencies carefully analyze data, identify useful trends and make informed decisions. You can work independently in the medical field, or you can work with other mathematicians, engineers and scientists in governmental and financial conditions.
From state security to dating apps, data science professionals are needed in almost all areas. Millions of companies and government departments rely on big data to succeed and better serve customers. The demand for data science is imminent and this trend will not slow down quickly.
Be sure to stay on top of your skills and practice with datasets depending on your role. Take advantage of cheat sheets to help guide our programming and analytic efforts.