Practical AI: Machine Learning, Data Science, LLM cover image

Practical AI: Machine Learning, Data Science, LLM

Machine learning at small organizations

Jan 17, 2023
49:51

Podcast summary created with Snipd AI

Quick takeaways

  • In small organizations, data scientists need to have a deep understanding of the entire machine learning workflow, from data infrastructure to model deployment, allowing them to gain hands-on experience and be involved in the end-to-end process of data science.
  • Working as a data scientist in a small organization provides the opportunity to try different tasks and roles, such as project management and MLOps, and have a wider scope of responsibilities compared to data scientists in large companies.

Deep dives

The Role of a Data Scientist in a Small Organization

In a small organization, the role of a data scientist is not just about training models, but about converting data into business value using data science techniques. The data scientist needs to have a working knowledge of the entire machine learning workflow, including data infrastructure, feature engineering, training models, deploying models, and monitoring their impact. The advantage of being a data scientist in a small organization is that you can have a broader and hands-on experience, working on various tasks and roles across the entire workflow. This allows you to gain a deeper understanding of different components and be involved in the end-to-end process of data science.

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