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.
Can You Explain Your Data Science Value in an Elevator Ride?
|
Can you explain why your data science work matters in the time it takes to ride an elevator? Most data scientists can't. They either dive into technical jargon that loses their audience or they stumble through vague explanations that dilute their impact. Here's the thing... Without a clear value proposition, you can't stay focused on what matters most, and you definitely can't convince stakeholders of your worth. Water engineer and data science manager Dr. Peter Prevos solved this by creating a compelling value proposition that transformed his data team from "report writers" to strategic partners. His team's mission is to: "Transform data into actionable insights that enhance customer experience, reduce environmental footprint, ensure regulatory compliance, and secure financial sustainability." No mention of Python, machine learning, or data pipelines - just clear business outcomes. Peter joined me again in the latest Value Boost episode of Value Driven Data Science. In this episode, you'll discover:
Learn how to articulate what makes your data science skills uniquely valuable to your organisation. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 69: The Value Proposition Framework Every Data Scientist Needs to Master Talk again soon, Dr Genevieve Hayes First published: June 25, 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...