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Super Data Science: ML & AI Podcast with Jon Krohn
821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman
Sep 24, 2024
Marck Vaisman, a Senior Cloud Solutions Architect at Microsoft and adjunct professor, shares his insights on effective data science roles. He reveals four key data practitioner personas and critiques common career roadmaps that often fall short. Discussing the elusive nature of the “data scientist” title, Marck emphasizes the importance of clarity in roles and skills. He highlights the essential blend of technical know-how and soft skills necessary for success, alongside the increasing significance of community and generative AI tools in the field.
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Quick takeaways
- Marck Vaisman identifies four distinct data practitioner personas, highlighting the unique skill sets and focuses of each type.
- He emphasizes the necessity of both technical and non-technical skills for data professionals to enhance their effectiveness and adaptability.
Deep dives
Understanding Data Science Roles
The episode delves into the complexities of defining the role of a data scientist and related positions such as data analysts, data engineers, and machine learning engineers. Mark Weissman emphasizes that the title 'data scientist' is often difficult to pin down due to the diversity of skills and experiences that practitioners bring to the table. He suggests that organizations should clarify their expectations and requirements for these roles to avoid confusion in hiring processes. Weissman provides a comprehensive characterization of four distinct data professional personas: data business people, data creatives, data developers, and data researchers, each with unique skill sets and focuses.
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