Thank you for piecing this all together. However, the roadmap is misleading in that there is a strict ordering of [data scientist -> machine learning scientist -> deep learning researcher]. This is misleading as it implies that data scientists are somehow of lower seniority in skills and experience than machine learning scientists and deep learning researchers. When really data scientist, ML scientist, and DL researchers share similar skills as well as having their very own unique skills that other roles might not have. For example, data scientists might be more business-oriented, ML/applied scientists might work closely on applied research/engineering to make sure the developed ML models go into production, and DL researchers might work more on the pure research side. In no way is one job on higher seniority than the other in terms of skills, years of experience, and even education level (although DL researchers typically have PhD more often than ML scientists and data scientists).
Thank you for piecing this all together. However, the roadmap is misleading in that there is a strict ordering of [data scientist -> machine learning scientist -> deep learning researcher]. This is misleading as it implies that data scientists are somehow of lower seniority in skills and experience than machine learning scientists and deep learning researchers. When really data scientist, ML scientist, and DL researchers share similar skills as well as having their very own unique skills that other roles might not have. For example, data scientists might be more business-oriented, ML/applied scientists might work closely on applied research/engineering to make sure the developed ML models go into production, and DL researchers might work more on the pure research side. In no way is one job on higher seniority than the other in terms of skills, years of experience, and even education level (although DL researchers typically have PhD more often than ML scientists and data scientists).