How do the roles in data science differ, and in what order should you bring them on? The 'AI Hierarchy of Needs' provides a useful guide. After meeting the most basic needs of purpose and data engineering, you can build reporting and business intelligence functions, before eventually adding data science and machine learning. Of course, that order may vary with organisation size and maturity, and there are a few extra factors that can also make a big difference.
Nurturing a Data Science Team Within a Large Organisation (with Sanjeevan Bala)
What is a Data Product Manager? (with Georgie Peake)
Raising the Profile of Women in Data (with Katie Russell)
Building a Diverse Data Science Team
What is a Machine Learning Engineer?
How to Get a Job as a Data Scientist
How to Hire a Data Scientist
How to Build a Data Science Team (with Andreas Gertsch Grover)
What is Data Science?
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