DataFramed #225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds
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Jul 11, 2024 
Savin Goyal, Co-Founder and CTO of Outerbounds, dives into the evolving role of the data scientist, blurring lines between data science and software engineering. He discusses the concept of the Full Stack Data Scientist, emphasizing the need to transition models from projects to production. Savin shares insights on the importance of model reliability, the challenges of MLOps, and the power of tools like Metaflow to streamline the deployment process. He also highlights strategies for overcoming hurdles in machine learning implementation and the collaborative future of AI.
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ML Success Stories
- Netflix's recommendation system contributed over a billion dollars to their top line.
- Long-tail machine learning applications significantly impact diverse companies like 23andMe and Zipline.
Model Testing
- The level of testing for production models varies by industry and application.
- Prioritize comprehensive understanding of model usage and control over outcomes.
The Full-Stack Data Scientist
- Empower data scientists to become full-stack, handling the entire project lifecycle.
- This approach minimizes communication gaps and increases project ownership.