Applied Scientist vs. Research Scientist

A Detailed Comparison between Applied Scientist and Research Scientist Roles

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Artificial Intelligence (AI), Machine Learning (ML), and Big Data are rapidly evolving fields that are transforming the way we live and work. As a result, there is a growing demand for professionals with expertise in these areas. Two popular career paths in this field are Applied Scientist and Research Scientist. While both roles involve working with data and developing algorithms, there are significant differences between the two. In this article, we will explore the definitions, responsibilities, required skills, educational backgrounds, tools and software used, common industries, outlooks, and practical tips for getting started in these careers.

Definitions

Applied Scientists and Research Scientists are both involved in the development of algorithms and models that analyze data. However, the primary difference between the two is their focus. Applied Scientists focus on the practical application of these models to solve real-world problems, while Research Scientists focus on developing new algorithms and models.

Responsibilities

Applied Scientist

Applied Scientists work on projects that have a direct impact on the business. They are responsible for developing algorithms and models that can be used to solve specific problems. They work with data to develop predictive models, recommend actions, and optimize processes. Applied Scientists are also responsible for Testing and validating their models to ensure they are accurate and reliable. They work closely with stakeholders to understand their needs and provide recommendations based on Data analysis.

Research Scientist

Research Scientists work on projects that are focused on developing new algorithms and models. They are responsible for conducting research to identify new techniques and methods that can be used to improve existing models or develop new ones. Research Scientists work with large datasets to develop and test new algorithms. They are also responsible for publishing their findings in academic journals and presenting their work at conferences.

Required Skills

Applied Scientist

Applied Scientists must have strong analytical skills and be proficient in programming languages such as Python, R, or Java. They must also be familiar with statistical analysis and machine learning algorithms. Applied Scientists must have excellent communication skills and be able to explain complex technical concepts to non-technical stakeholders.

Research Scientist

Research Scientists must have a strong background in Mathematics, Statistics, and Computer Science. They must be familiar with advanced machine learning techniques and algorithms. Research Scientists should also have experience working with large datasets and be proficient in programming languages such as Python, R, or Java. They must have excellent research and analytical skills and be able to communicate their findings effectively.

Educational Backgrounds

Applied Scientist

Applied Scientists typically have a degree in computer science, statistics, mathematics, or a related field. They may also have a degree in a specific industry, such as healthcare or Finance, depending on their area of expertise.

Research Scientist

Research Scientists typically have a Ph.D. in Computer Science, mathematics, statistics, or a related field. They may also have a background in a specific industry, such as healthcare or finance, depending on their area of expertise.

Tools and Software Used

Applied Scientist

Applied Scientists use a variety of tools and software, including programming languages such as Python, R, or Java, and machine learning frameworks such as TensorFlow or PyTorch. They also use Data visualization tools such as Tableau or Power BI to present their findings.

Research Scientist

Research Scientists use a variety of tools and software, including programming languages such as Python, R, or Java, and machine learning frameworks such as TensorFlow or PyTorch. They also use statistical software such as SAS or SPSS and data visualization tools such as Tableau or Power BI to present their findings.

Common Industries

Applied Scientist

Applied Scientists work in a variety of industries, including healthcare, finance, retail, and technology. They are in high demand in industries that rely on Data analysis to make informed decisions.

Research Scientist

Research Scientists work in academia, research institutions, and technology companies. They are in high demand in industries that require the development of new algorithms and models.

Outlook

Both Applied Scientist and Research Scientist roles are in high demand, and the outlook for both careers is excellent. According to the Bureau of Labor Statistics, employment of computer and information research scientists is projected to grow 15 percent from 2019 to 2029, much faster than the average for all occupations. Similarly, employment of data scientists and other similar roles is projected to grow 11 percent from 2019 to 2029.

Practical Tips for Getting Started

Applied Scientist

To get started as an Applied Scientist, you should focus on developing your analytical and programming skills. You should also gain experience working with data and Machine Learning algorithms. Consider taking courses or obtaining certifications in data science or machine learning to enhance your skills.

Research Scientist

To get started as a Research Scientist, you should consider pursuing a Ph.D. in computer science, Mathematics, or a related field. You should also gain experience working with large datasets and developing new algorithms and models. Consider publishing your work in academic journals and presenting your findings at conferences to build your reputation in the field.

Conclusion

Applied Scientist and Research Scientist roles both involve working with data and developing algorithms and models. However, they differ in their focus and responsibilities. Applied Scientists focus on the practical application of these models to solve real-world problems, while Research Scientists focus on developing new algorithms and models. Both roles require strong analytical and programming skills, and the outlook for both careers is excellent. Whether you choose to pursue a career as an Applied Scientist or Research Scientist, the field of AI, ML, and Big Data offers exciting opportunities for growth and innovation.