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Value Driven Data Science

Dr Genevieve Hayes
Data Science
Machine Learning
Social Media
Business Value
Data Visualization
Career Development
Data Engineering
Entrepreneurship
Consulting
Networking
Generative AI
Data Analytics
Blockchain
Algorithms
Job Loss
Large Language Models
Cryptocurrency
Outsourcing Data Teams
AI Boom
Survey Design

Value Driven Data Science is a masterclass where data professionals learn how to become strategic experts. Each week, Dr Genevieve Hayes speaks with world-class data practitioners who have mastered strategic positioning, built genuine authority, and transformed their expertise into organisational influence. You'll learn how they create value by helping stakeholders make better decisions and solve ... more

PublishesWeeklyEpisodes102Founded4 years ago
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BusinessTechnology

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Artwork for Value Driven Data Science

Latest Episodes

Building authority as a data professional doesn't require a large budget, a publisher, or even a large audience. But it does require a deliberate decision to share your thinking with the world and the patience to let that compound over time.

In this... more

Data scientists today are under pressure to adopt the latest tools - machine learning, LLMs, generative AI. But in the rush to embrace what's new, many are leaving some of the most powerful analytical tools sitting on the shelf. Tools that handle som... more

Over 100 episodes of conversations with world-class practitioners, a few ideas keep surfacing. Technical skill is necessary but never sufficient. The most valuable data professionals aren't the ones who build the best models - they're the ones who kn... more

Biased machine learning models don't just produce poor predictions. They can damage reputations, derail projects, and in high-stakes fields like healthcare, potentially cause real harm. Yet many data scientists don't check for bias until it's too lat... more

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Recent Guests

Rob Hyndman
Professor of Econometrics and Business Statistics, Monash University
Monash University
Episode: Episode 101: Why Traditional Statistics Still Matters in the Age of AI
Matt O'Mara
Managing Director of Information and Insights Company Analysis Paralysis; Founder and Director of i3; international speaker and strategist
Analysis Paralysis; i3
Episode: Episode 100: What Data Science Value Really Means
Serg Masis
Author of Interpretable Machine Learning with Python
Episode: Episode 99: [Value Boost] Preventing ML Bias Before it Becomes a Problem
Dr Tim Varelmann
Founder of Bluebird Optimization; PhD in mathematical optimization
Bluebird Optimization
Episode: Episode 96: Making Better Decisions with ML and Optimisation
Professor Steve Stern
Professor of data science at Bond University and custodian of the Duckworth-Lewis-Stern cricket scoring system.
Bond University
Episode: Episode 94: Creating Global Impact with Data Science
Dr. Sayli Javadekar
Data scientist and economist who has transitioned from academia to industry
Episode: Episode 93: [Value Boost] What Industry Data Scientists Can Learn from Academic Training
Sayli Javadekar
Data scientist at Thoughtworks with a PhD in econometrics from the University of Geneva
Thoughtworks
Episode: Episode 92: Making the Academia to Industry Leap in Data Science
Colin Priest
Actuary data scientist and educator
University of New South Wales
Episode: Episode 90: Using LLMs to Become a More Effective Data Scientist
Sarah Burnett
Co-founder of Dub Dub Data, experienced data consultant.
Dub Dub Data
Episode: Episode 88: Building a Data Science Career After Unexpected Job Loss

Host

Dr Genevieve Hayes
Host of Value Driven Data Science, focused on turning data skills into business impact and career advancement.

Reviews

5.0 out of 5 stars from 14 ratings
  • Valuable advice for data practitioners seeking to advance their impact

    Dr Hayes provides consistent valuable advice for data scientists, engineers, analysts, and even team managers for how to improve the impact you are making in a business.

    Apple Podcasts
    5
    Act-4-Change
    United States10 months ago
  • Inspiration for your own data science journey

    The Value Driven Data Science Podcast with Dr. Genevieve Hayes offers a valuable learning experience, featuring insights from industry experts and real-world examples that illustrate the practical applications of data science techniques. It's a great way to stay updated on the latest trends, network with professionals in the field, and gain inspiration for your own data science journey.

    Apple Podcasts
    5
    David Shriner-Cahn
    United States2 years ago
  • Highly recommend!

    Dr. Genevieve and her guests always provide great conversation and analysis that I very much look forward to.

    Apple Podcasts
    5
    IowaDavid
    United States3 years ago
  • Data is the new gold

    Data is the new gold and this show provides fascinating insights into the world of data science. 5/5 from someone without a data background.

    Apple Podcasts
    5
    The humble movie lover
    Australia3 years ago
  • Great podcast on Being a Data Science Leader

    Data Science is inherently interdisciplinary, and data science within an organization requires even broader sets of skills and relationships. Dr. Hayes’ podcast covers the technology, people, and business goal sides of being a data science leader.

    Apple Podcasts
    5
    Jonathan Dursi
    Canada3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Content is consistently actionable and business-oriented, not just technical.
Strong focus on career advancement resonates with listeners seeking impact and compensation.
The show often bridges academia and industry with real-world applications.
Industry-leading host who translates complex topics into practical takeaways.
Guests bring high credibility across data science and analytics.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#223
Brazil/Technology
Apple Podcasts
#244
Netherlands/Technology

Talking Points

Recent interactions between the hosts and their guests.

Episode 100: What Data Science Value Really Means
Q: What are the three best nuggets you've learned from 100 episodes and how have they shaped your thinking?
1) Data scientists should focus on enabling better executive decisions rather than just performing analyses. 2) Decision science stresses defining decisions and the leverage points early to connect technical work to outcomes. 3) Aligning projects with core executive priorities (revenue, costs, risk, customer and employee satisfaction) makes the work more persuasive and value-driven.
Episode 98: Building Trust in AI Through Model Interpretability
Q: Can you explain the practical distinction between interpretability and explainability for our listeners?
Interpretability refers to how easily humans can understand the model's structure and decisions (often related to the model being simple or transparent), while explainability concerns the ability to provide a coherent justification for a model's outputs, which may involve post hoc analyses or narrative explanations that connect inputs to outcomes.
Episode 94: Creating Global Impact with Data Science
Q: If data scientists listening today could focus on just one thing to increase the chances of their work achieving real-world impact, what should it be?
Start by picking a problem that you think is really important, and create a solid base solution for that problem.
Episode 95: [Value Boost] Building Models That Work While Millions Are Watching
Q: If you could give one piece of advice to a data scientist who's about to deploy a model in a high-pressure, real-time environment for the first time, what would it be?
Ensure that you feel prepared and have done all your due diligence, avoiding the pressure to monetize too soon.
Episode 95: [Value Boost] Building Models That Work While Millions Are Watching
Q: What's the most important lesson you learned from DLS that translates to those kinds of high stakes situations?
You must trust your initial validations, but also remain humble to recognize flaws in your model and be willing to make changes based on observations.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Value Driven Data Science

What is Value Driven Data Science about and what kind of topics does it cover?

This show serves as a practical guide for data professionals aiming to increase impact, influence, and earning power. Across episodes, listeners get real-world strategies on turning technical skills into business value, communicating with decision-makers, and steering career trajectories—from individual contributor to datapreneur. Noteworthy themes include translating models into deployable decisions, organizational storytelling, and navigating career transitions, with a strong emphasis on actionable frameworks and interview-based lessons from practitioners and educators. The format tends to center on how to operationalize data science within teams and leadership structures, making it especially valuable for those seeking concrete career ad... more

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Value Driven Data Science launched 4 years ago and published 102 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Value Driven Data Science?

Recent guests on Value Driven Data Science include:

1. Rob Hyndman
2. Matt O'Mara
3. Serg Masis
4. Dr Tim Varelmann
5. Professor Steve Stern
6. Dr. Sayli Javadekar
7. Sayli Javadekar
8. Colin Priest

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