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Artwork for Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Dr Genevieve Hayes
Data Science
Blockchain
Cryptocurrency
Survey Design
Outsourcing Data Teams
Web3
Koinos
Ethereum
Data Analytics
Statistical Analysis
Audience Analysis
Quantitative Research
Data Orchestration
Koin Press
Financial Modeling
Sequential Decision Problems
Private Opinion
Marketing Research
Public Opinion
Machine Learning

Are you tired of spending hours mastering the latest data science techniques, only to struggle translating your brilliant models into brilliant paychecks? It’s time to debug your career with Value Driven Data Science. This isn’t your average tech podcast – it’s a weekly masterclass on turning data skills into serious clout, cash and career freedom. Each episode, your host Dr Genevieve Hayes chats ... more

PublishesWeeklyEpisodes97Founded4 years ago
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BusinessTechnology

Listen to this Podcast

Artwork for Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Latest Episodes

Data scientists often jump straight to machine learning when tackling a new problem. But there's a foundational step that can dramatically increase your chances of project success and create more reliable business value. Mathematical modelling from f... more

Data scientists use optimisation every day when training machine learning models, without even thinking about it. But there's another type of optimisation - that many data scientists are unaware of - that can be used to dramatically boost the busines... more

Building a model for an academic paper is one thing. Building a model that has to work perfectly during the Cricket World Cup with millions watching is something else entirely. There's no room for the kind of errors that might be acceptable in resear... more

For most data scientists, the idea of impacting the world through your work seems impossible. You may be developing technically brilliant solutions within your organisation, but seeing them become industry standards or influence global decisions feel... more

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Recent Guests

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
Danny Ruspandini
Director of Impact Labs Australia
Impact Labs Australia
Episode: Episode 87: [Value Boost] How Your Weirdness Could Be Your Data Science Superpower
Miguel Curiel
Product Analytics Manager at Bloomberg
Bloomberg
Episode: Episode 84: The 7-Step Checklist for Creating Business Impact Through Product Analytics
David Cohen
Data and AI strategy consultant and founder of Superposition
Superposition
Episode: Episode 82: Why You Should Start Your Data Projects with Pictures Not Data

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 States9 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 States2 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.

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Tomorrow, Today
Tomorrow, TodayShekhar Natarajan
Hard Fork
Hard ForkThe New York Times
Technology Now
Technology NowHewlett Packard Enterprise
Dwarkesh Podcast
Dwarkesh PodcastDwarkesh Patel

Talking Points

Recent interactions between the hosts and their guests.

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.
Episode 92: Making the Academia to Industry Leap in Data Science
Q: If someone listening is currently struggling through making the transition from academia to industry, what's one thing they could start doing tomorrow to make their life easier?
Sayli suggests reaching out to people on LinkedIn who have transitioned out of academia to gain insights and possibly intern in the industry to understand its functioning.
Episode 92: Making the Academia to Industry Leap in Data Science
Q: If you could go back in time to before you left academia, is there anything you would have done differently to make your transition to industry easier for yourself?
Sayli mentions she would have practiced coding in Python and taken business or non-academic communication classes to better prepare for her transition into industry.

Audience Metrics

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Frequently Asked Questions About This Podcast

What is This Podcast 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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1. The Indicator from Planet Money
2. Planet Money

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this podcast launched 4 years ago and published 97 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 this podcast?

Recent guests on this podcast include:

1. Dr Tim Varelmann
2. Professor Steve Stern
3. Dr. Sayli Javadekar
4. Sayli Javadekar
5. Colin Priest
6. Sarah Burnett
7. Danny Ruspandini
8. Miguel Curiel

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