What working as a data scientist at various companies and industries over the past 6+ years has taught me of the future of data science and AI engineering
GenAI and Large Language Models (LLMs) continue changing how we work and what work will mean in the future, especially for the data science domain, where in this GenAI-driven world, being a good data scientist is more challenging than ever.
In this article, I will summarize my thoughts and experience from working with traditional ML and GenAI for the last 6+ years (and nearly a decade of being involved with AI). However, to set the stage, let’s start with some thoughts on what a good data scientist is.
Disclaimer: The quotes below may or may not be inspired by real people.
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- What is a good data scientist?
- Issue # 1 — High expectations but no data or data strategy
