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Data Scientist Career Guide and Interview Preparation badge image. Validation. Foundational level. Issued by IBM

Occupations

Data Scientists

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Machine Learning Researchers

Conceive, research, and prototype new machine learning and high-performance computing techniques. Develop relevant software and hardware technologies with the goal of converting these into products. May also participate in the development of intellectual property.

Data Science Managers

Oversee the building and enhancement of artificial intelligence (AI) and machine learning products and analytical tools and services. Translate data-driven initiatives and potential ideas into fully developed data products and services. Create, manage, communicate, and present data analytics strategy, vision, and roadmaps.

Bioinformatics Scientists

Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.

Data Engineers

Develop, construct, test and maintain architectures, such as databases and large-scale processing systems.