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 Sum of Their Choices
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Organisations live or die based on the quality of the decisions made by their executives. So, if you’re a data scientist looking to create value, the answer is simple: help your senior stakeholders make better decisions. This means you need to understand the decisions your stakeholders are trying to make. Any analysis you do needs to connect back to those decisions at the end. Machine learning, data analysis, all the technical work people associate with data science - that’s just one step in the process, not the whole process. It’s an essential step. But without the steps that connect your work back to decisions, the value you create is massively reduced. As Luther Stickell (Ving Rhames) says in Mission Impossible - The Final Reckoning: “Our lives are not defined by any one action. Our lives are the sum of our choices.” Your stakeholder’s career is the sum of their decisions. Make sure your work actually helps them make better ones. 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.
When I started my career, data science didn’t exist as a field. I trained as an actuary and statistician and those were the tools I relied on in my earliest roles. Then, around 10 years ago, I started hearing about the wonders of machine learning and became worried that my traditional training was no longer enough. So, despite already having a PhD in Statistics, I went back and completed a Masters in Machine Learning. Then came the AI wave – ChatGPT, large language models, generative AI – and...
The most valuable lessons I’ve learned in my data science career weren’t learned in a classroom. They came from conversations with people who’d already figured things out the hard way. My podcast has been a more valuable learning tool for me than all of my university degrees combined. Over 100 episodes, I’ve had the chance to speak one-on-one with some of the sharpest minds in the industry - CEOs, best-selling authors and leading researchers - on everything from cutting-edge AI to what it...
In 2015, I fell in love with a job I would never have. I’d just attended a conference where people were talking about machine learning and data science as the way of the future. I returned to the office eager to learn more and started down the data science rabbit hole - where I stumbled across an article about the recently established NYC Mayor’s Office for Data Analytics. They were using data science to locate illegal cooking oil dumping in the city’s sewers. To coordinate emergency services...