数据科学家这个曾经被誉为“21世纪最性感的工作”的职位，在过去十年中已经发生了显著的演变和专业化。这种演变催生了应用科学家、研究科学家和机器学习工程师等不同职位的出现，每个职位都有其独特的目标和技能。这种专业化部分是由于公司重新包装现有分析职位以吸引人才，模糊了传统数据分析与更高级的模型和算法开发之间的界限。 AI
排序理由 这是一篇由特定个人发表的观点文章，讨论了数据科学职位的演变和专业化。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
数据科学岗位日益多样化：从通才到专才机器学习工程师
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- 这是一篇由特定个人发表的观点文章，讨论了数据科学职位的演变和专业化。
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应用/研究科学家，机器学习工程师：有什么区别？
A personal take on their deliverables and skills, and what it means for the industry and your team.