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 Data Science Meeting Everyone Actually Looked Forward To
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One of my proudest moments as a data science manager was starting a team coding club. As a data science manager in the early days of Python adoption, I faced a practical dilemma: my team needed coding skills, but nobody could face another mandatory training session. So I tried something different. Project Euler coding problems. One challenge per week. Solve it first individually, then we'd share solutions as a group. We took turns to bring along snacks. What happened next was a huge surprise. Our weekly meetings - filled with equal parts coding breakthroughs and chocolate biscuits - became the highlight of everyone's schedule. The coding skills came naturally. The team dynamics was the real prize. Here's the thing... Sometimes the fastest way to increase your impact and influence is through building the kind of team culture that gets noticed by senior leadership. Whether you're managing people now or aspire to later, creating shared learning experiences can become your secret weapon for career advancement. By the time I left that role, my team was legendary for their collaboration. All because we chose to learn together, one chocolate biscuit at a time. Talk again soon, Dr Genevieve Hayes First published: July 6, 2025 |
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.
How do you extract trustworthy insights from data you know has been deliberately manipulated? It's a challenge most data scientists never face. We're used to cleaning messy data, but deliberately manipulated data? That's completely next level. Yet if you're working with social media data, manipulation is the reality you're dealing with. Tim O'Hearn, a reformed social media hacker who generated millions of followers through bot manipulation, recently shared with me the harsh reality: "During...
Before we begin: Next month, I'm teaching 3-5 data scientists my complete process for creating your own high-value data science opportunities in the Data Science Impact Sprint - a 4-week, 1-on-1 coaching program that will boost your strategic influence and help position you for career advancement. Scroll down to learn more... They say you should start the job you want before you have it. Back in 2015, I wanted to be a data science manager. The problem? Data science was new. Data science...
What can ethical data scientists learn from a social media hacker? More than you might think. Tim O'Hearn is a software engineer who spent years circumventing anti-botting measures and gaining millions of followers for clients - experiences he's chronicled in the recently published Framed: A Villain’s Perspective on Social Media. Not exactly the typical guest you'd expect on a data science podcast. Here's the thing... Understanding how systems can be exploited makes you better at building...