Data scientist jobs you’ll love

Modern organizations have a growing need for processing, analysis and interpretation of data to stimulate decision-making by stakeholders. This need creates data scientist jobs.

Data science is an evolving field and will continue to change as technologies based on artificial intelligence develop. Data scientists can take advantage of ever-expanding career opportunities in industries as diverse as aerospace, mining, tourism and financial services.

The best data scientist jobs

To rank the best data scientist careers, we assessed roles based on salary, projected growth, remote work opportunities, and work-life balance. The criteria we weighted the most were salary and work-life balance.

1. Scientist in machine learning

Minimum diploma required: Bachelors

Alternative job titles: Computer scientist, machine learning engineer, distributed systems engineer

Good fit for:

  • Experts in back-propagation of neural networks
  • Custom Machine Learning Coders
  • Builders of application programming interfaces
  • Data storage supervisors
  • Software developers with strong data science principles

Machine learning scientists focus on predictive modeling and machine learning algorithms to create neural networks. They can develop results from massive data sets. The US Bureau of Labor and Statistics (BLS) reports that the median annual salary for computer researchers was $ 126,830 as of May 2020.

2. Machine learning engineer

Minimum diploma required: Bachelors

Alternative job titles: Artificial applications engineer, data scientist

Good fit for:

  • Encoders
  • Software developers
  • Algorithm developers and designers
  • Experts in machine learning algorithms
  • Big data set managers
  • Database experts

Machine learning engineers develop software to improve machine learning applications while advancing data science. The job duties include writing code and interpreting large data collection sets. Machine learning engineers focus on computer vision, model training, and software development. Professionals earn an average of $ 112,356 per year in November 2021.

3. Application architect

Minimum diploma required: Bachelors

Alternative job titles: Technical architect, software architect, system architect

Good fit for:

  • System monitors
  • Team motivators
  • Supervise developers
  • People able to balance operational work, programming and strategic performance tasks

Application architects develop and analyze software projects, overseeing every step of the development process. They also evaluate the use of their employer’s software. The average salary for an application architect was $ 117,767 in November 2021.

4. Data scientist

Minimum diploma required: Bachelors

Alternative job titles: Data analyst, Hadoop engineer, data manager

Good fit for:

  • Team collaborators
  • Problem solvers
  • Data analysts
  • Technical and non-technical fluent communicators
  • Data visualization expert
  • Expert in Machine Learning and Artificial Intelligence

Data scientists draw on behavioral, computer and mathematical disciplines to analyze data. These professionals collect, organize and analyze raw data while solving problems and reporting results. The BLS reports that the median annual salary for data scientists was $ 98,230 as of May 2020.

5. Data engineer

Minimum diploma required: Bachelors

Alternative job titles: Data architect, data science software engineer, data warehouse engineer

Good fit for:

  • Algorithm developer
  • Team collaborator
  • Database pipeline architect builder
  • Data analysis tool creator
  • Responsible for data governance and security policy compliance

Data engineers develop and build systems for collecting, storing, and analyzing data. These industry professionals help organizations store data before distributing it to scientists and data analysts. Data engineers also organize and control the quality of data to increase its accessibility to the organization. The average salary for a data engineer is $ 92,632 in November 2021.

6. Statistician

Minimum diploma required: Bachelors

Alternative job titles: Data analysts, actuary, biostatistician

Good fit for:

  • Problem solvers
  • Data collection plan designers
  • Synthesis experts
  • Visualization experts
  • Data skills experts
  • Computer programming professionals

Statisticians integrate science and data to inform decisions. Their responsibilities include data collection procedures, experimental design, data interpretation and analysis, and recording of findings. Statisticians can seek careers in public safety, healthcare, and sports. The BLS reports the average annual salary of statisticians at $ 92,270 as of May 2020.

7. Infrastructure architect

Minimum diploma required: Bachelors

Alternative job titles: Software architect, cloud architect, application manager

Good fit for:

  • Software developers
  • Encoders
  • Innovative problem solvers
  • System administrators
  • Information systems designers
  • IT systems administrators

Infrastructure architects develop networks for entire organizations. These industry professionals include systems administration and software development. Infrastructure architects work with clients to discern individual computational requirements. The average salary for an IT infrastructure architect was $ 112,995 in November 2021.

8. Data architect

Minimum diploma required: Bachelors

Alternative job titles: Data strategist, cloud architect, information architect

Good fit for:

  • Experts in database models
  • Access to databases and management masters
  • Public cloud computing professionals
  • Development environment software professionals
  • Analytical problem solvers

Data architects manage the policies, procedures, models, and technology for collecting, organizing, storing, and accessing data. These professionals manage high-level business intelligence relationships. They can also design data management systems. The U.S. Bureau of Labor Statistics reports that the median annual salary for database administrators and architects was $ 98,860 as of May 2020.

9. Business intelligence developer

Minimum diploma required: Bachelors

Alternative job titles: Data warehouse developer, Azure architect, business developer

Good fit for:

  • Microsoft Excel specialists
  • Problem solvers
  • Troubleshooting experts
  • SQL professionals
  • Team collaborators
  • Data architects

Business Intelligence developers create technology systems that support Business Intelligence for organizations. These industry professionals acquire the software that business intelligence analysts need. They are also developing systems to collect data on consumers, sales and income. The average salary for business intelligence developers was $ 81,319 in November 2021.

10. Data analyst

Minimum diploma required: Bachelors

Alternative job titles: Data scientist, data engineer, business intelligence analyst

Good fit for:

  • Analytical and abstract thinkers
  • Critical thinkers
  • Detail-oriented professionals
  • Problem solvers
  • Team collaborators
  • Industry trend researchers

Data analysts collect and organize sets of data. They then use the data to solve complex problems and answer key questions. Data analysts follow patterns and trends, integrating analysis, technology and organizational goals to achieve business goals. The BLS reported a median annual salary of $ 86,200 in May 2020.

How Much Money Can You Make in Data Science?

The BLS reports that the median annual salary for data scientists was $ 103,930 as of May 2020. Salaries can range from $ 52,950 to $ 165,230 depending on location, industry, previous experience, level of education and other factors.

Data scientists can increase their earning potential by pursuing higher education and obtaining the degrees they seek. Obtaining one of the top tech certifications can prove your knowledge and experience to a top employer, helping you advance your tech career.

Ready to upgrade your skills and aim for high-level jobs? Pursuing a master’s degree in data analysis can prepare a professional for advanced roles such as application, business, and data architects.

Conclusion

Data scientists are pioneers in data analysis. They seek organization-wide solutions and apply their talents to promote growth and innovation for successful business operations.

If you have a passion for revealing datasets and helping businesses succeed in their data collection efforts, consider a career as a data scientist.

This article was reviewed by Monali Mirel Chuatico

Monali Mirel Chuatico, a woman with long dark hair, smiles in a headshot.

In 2019, Monali Mirel Chuatico received her Bachelor of Computer Science degree, which gave her the foundation she needed to excel in roles such as a data engineer, front-end developer, UX designer, and computer science teacher.

Monali is currently a Data Engineer at Mission Lane. As Data Analytics Captain at the nonprofit COOP Careers, Monali helps new graduates and young professionals overcome underemployment by teaching them data analysis tools and supporting them in their professional development path.

Monali is passionate about implementing creative solutions, building community, advocating for mental health, empowering women and educating youth. Monali’s goal is to gain more experience in her field, expand her skills and do meaningful work that will have a positive impact on the world.

Monali Mirel Chuatico is a paid member of the Red Ventures Education Independent Assessment Network.

Sean N. Ayres