Episode 100: What Data Science Value Really Means

About this episode

In this milestone episode, Dr. Genevieve Hayes reflects on her career journey and the key insights about data science value with guest Matt O'Mara.

Over 100 episodes of conversations with world-class practitioners, a few ideas keep surfacing. Technical skill is necessary but never sufficient. The most valuable data professionals aren't the ones who build the best models - they're the ones who know which problems are worth solving. And the gap between those two things is where most data scientists are leaving value on the table. In this milestone episode, Dr. Genevieve Hayes reflects on her career journey and the conversations that helped her arrive at these conclusions, with Matt O'Mara turning the tables to put her in the hot seat. In this episode, you'll discover: From statistician to machine learning advocate and back again - and what that journey revealed [09:49] The crack in the data science skills market where significant value is hiding [18:59] Why knowing which problems to solve matters more than knowing how to solve them [24:53] The top three lessons from 100 conversations on what data science value actually means [33:49] Guest Bio Matt O'Mara is the Managing Director of information and insights company Analysis Paralysis and is the founder and Director of i3, which helps organisations use an information lens to…

People in this episode

Host: Dr Genevieve Hayes

Guest: Matt O'Mara

Topics covered

• data science
• value
• career journey
• problem solving
• skills market
• lessons learned

Keywords

• data science
• value
• problem solving
• skills market
• career journey
• lessons learned

Mentioned in this episode

Organizations: Analysis Paralysis, i3

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