- Pranjali Ajay Parse, a data scientist at Autodesk, emphasizes the interdisciplinary nature of AI roles.
- Proficiency in Python alone is not sufficient for AI jobs; skills in case study analysis, SQL querying, and coding are essential.
- About 70% of Parse’s job involves data science, with the rest dedicated to software engineering, math, and other tasks.
- AI projects require collaboration among multiple teams, including data analysis, machine learning, UX/UI design, software engineering, and marketing.
- Privacy considerations are crucial in AI development, with extensive protocols required to handle sensitive data and ensure ethical outcomes.
AI roles are not just about coding; they involve interdisciplinary skills and heavy collaboration. Proficiency in Python is not enough; candidates need skills in data analysis, SQL querying, and coding. Collaboration is key in AI projects, involving various teams from data analysis to marketing. Privacy and ethical considerations are vital in AI development to avoid unintended consequences.
元記事: https://www.businessinsider.com/gen-z-data-scientist-debunks-ai-job-myths-2024-8