Earning Criteria

• Professional Data Scientists must have completed formal training in the discipline of Data Science (such as statistics, operations research, machine learning, or econometrics) either through attendance at a taught course or through self-study and are required to continue to develop their skills and to stay up-to-date with the development of their profession.
• Professional Data Scientists are required to develop and maintain their knowledge of the technology trends and techniques that are relevant to developing solutions for solving business problems.
• Professional Data Scientists are required to develop and maintain an understanding of their client’s business as it pertains to their client’s vertical industry (e.g., telecoms, financial, etc.).
• Professional Data Scientists must have demonstrated experience of using reusable assets created by others or of providing assets for reuse (e.g., process documentation, packages, libraries). Two or more examples are required.
• Professional Data Scientists are required to make contributions to the Data Science profession, for example, publications, teaching, research collaboration, or participation in professional organizations. Mentoring others in their career progression as a Data Scientist is also required.
• This milestone badge is open to all applicants. There is no requirement for any previous qualification.