DataFramed Industry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a Comeback
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Dec 6, 2024 Explore the rise of AI agents in data science, uncovering their coding prowess and problem-solving capabilities. Delve into the potential comeback of full-stack data scientists and the revival of classic programming languages like Fortran. Discover Python's performance leap and the essential skills that modern data professionals need, including communication and project management. Finally, the hosts express gratitude while anticipating the future of AI, urging a balance between lofty expectations and real-world value.
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Building Data Science Coding Agents
- When building data science coding agents, focus on non-creative, automatable tasks for initial productivity boosts.
- Then, gradually incorporate reasoning capabilities for limited use cases before expanding.
Two Types of Data Scientists
- Cassie Kozyrkov describes two types of data scientists: the "and" data scientist (unicorn) and the "or" data scientist (specialist).
- The "and" data scientist is a jack-of-all-trades, while the "or" data scientist focuses on a specific area.
Future of Data Science Roles
- Startups and smaller data teams may prefer unicorn data scientists.
- Mature data teams likely need both full-stack data scientists and specialized roles like data engineers and functional analysts.