Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
Have You Been Gaslit By Data Science?
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Machine learning excels at automating routine decisions. But the decisions that matter most are far from routine. The decisions that truly make or break an organisation are the high-stakes, one-off decisions where data is scarce, machine learning falls apart, and executive stakeholders are left relying on their gut. These are also the situations where data scientists have the potential to add the greatest value - if they know how. As a data scientist with a background in actuarial science and statistics, when machine learning has failed me, I’ve found myself falling back on actuarial and statistical techniques better suited to sparse data - while all the time worrying I was somehow doing data science “wrong”. If I wasn’t creating a machine learning solution, could I even call myself a data scientist? So when I came across How to Measure Anything by Douglas Hubbard, it was a revelation to me. Not because it taught me something entirely new, but because it confirmed I was doing data science right all along. It was as if data science had suddenly stopped gaslighting me. In the latest episode of Value Driven Data Science, Doug joins me to share how combining techniques from statistics, economics and decision theory can help data scientists tackle the problems that matter most. You’ll discover:
The decisions that make or break organisations rarely come with large datasets. This episode is about what to do when they don’t. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 109: How to Measure Anything and Make Better Decisions Talk again soon, Dr Genevieve Hayes |
Data Science Impact Algorithm
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
The number one piece of advice I give to data professionals is to have more conversations. Conversations lead to good things. Things like job offers and stronger relationships. But more importantly, the opportunity to deepen your knowledge through learning from the wisdom of others. I owe many of the best opportunities I’ve encountered in my career to proactively seeking them out wherever I can. My podcast is a weekly example of the power of conversation. But if there’s one thing all these...
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