Genevieve Hayes
Appears in 89 Episodes
Episode 89: [Value Boost] LinkedIn Strategies for Boosting Your Data Science Career
LinkedIn has become a powerful career tool for data scientists willing to invest the time. Regular posting can lead to unexpected work opportunities, reconnections wit...
Episode 88: Building a Data Science Career After Unexpected Job Loss
There was once a time, when data science was still in its infancy, when demonstrating any attempt to learn Python or machine learning was enough to secure a job interv...
Episode 87: [Value Boost] How Your Weirdness Could Be Your Data Science Superpower
When most data scientists think about their competitive edge, they focus solely on what goes on their resume - education, work experience, and technical skills. But wh...
Episode 86: Why Every Data Scientist Is Already Running a Business
Every data scientist is running their own business - it's just that most of those businesses are solo operations with one client: their employer. Unfortunately, most d...
Episode 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments
Here's something that data science courses don't prepare you for: even your most brilliant analysis can fail if you can't navigate the human side of your organisation....
Episode 84: The 7-Step Checklist for Creating Business Impact Through Product Analytics
When working with data, it can be easy to fall into the trap of believing that your dataset represents nothing more than numbers on a page. However, behind every data ...
Episode 83: [Value Boost] How to Gamify Data Science Requirements Gathering for Better Results
Stakeholder requirement gathering is often one of the most dreaded parts of data science projects - dry, tedious sessions where conflicting voices talk past each other...
Episode 82: Why You Should Start Your Data Projects with Pictures Not Data
Most data scientists follow the same predictable process: gather requirements, collect data, build models, and only at the very end create visualisations to communicat...
Episode 81: [Value Boost] How to Frame Data Problems Like a Decision Scientist
Data science training programs often jump straight into technical methods without teaching one of the most critical skills for project success - problem framing. Witho...
Episode 80: Why Decision Scientists Succeed Where Data Scientists Fail
Most data scientists have never heard of decision science, yet this discipline - which dates back to WWII - may hold the key to solving one of data science's biggest p...
Episode 79: [Value Boost] The Win Win Data Product Validation Strategy
One of the biggest risks for independent data professionals is spending months or years developing a product or service that nobody wants to buy. The graveyard of fail...
Episode 78: From Machine Learning Engineer to Independent Data Professional Before 30
The traditional career path of climbing the corporate ladder no longer appeals to many data scientists - who crave freedom and ownership of their work. Yet the leap fr...
Episode 77: [Value Boost] Why Your Data Team Needs a Book Club
The right book at the right time can completely transform your career trajectory, but many data professionals struggle to find resources that directly address their un...
Episode 76: The 3 Step Framework That Transforms Data Order-Takers to Strategic Business Partners
Many data scientists begin their careers expecting to influence strategic decisions, only to find themselves trapped as "data order takers" - endlessly running reports...
Episode 75: [Value Boost] The Psychology Hack That Gets Your Data Insights Heard
Even the most compelling data presentation can fail if it runs headfirst into your stakeholders' cognitive blind spots. Decision makers who claim to be "data-driven" o...
Episode 74: How Competitive Debating Frameworks Can Revolutionise Your Data Science Career
Data storytelling might make your findings memorable, but persuasion is what gets your recommendations implemented. Many data scientists have mastered communication an...
Episode 73: [Value Boost] How to Trust Social Media Data When You Can't Trust Social Media
Social media data drives countless business decisions, but up to 40% of social media engagement may be artificial or manipulated by bots. For data scientists accustome...
Episode 72: The Social Media Hacker's Guide to Better Data Science
Social media algorithms silently shape what billions of people see and how they interact online. While most data scientists work to optimize business value within plat...
Episode 71: [Value Boost] Why Most Dashboards Fail and How to Fix Yours
Most dashboards and reports get ignored despite all the technical expertise that goes into creating them. The reason isn't technical limitations or poor data quality -...
Episode 70: How to Interpret Data Like a Pro in the Age of AI
Despite unprecedented data abundance and widespread data science education, even experienced data professionals still struggle to interpret data effectively. They draw...