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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
Koinos
Ethereum
Web3
Data Analytics
Quantitative Research
Statistical Analysis
Audience Analysis
Data Orchestration
Koin Press
Financial Modeling
Sequential Decision Problems
Private Opinion
Public Opinion
Marketing Research
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

PublishesWeeklyEpisodes83Founded3 years ago
Number of ListenersCategories
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

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 and senior executives dominate the conversation. Yet without proper requirements, ... more

Most data scientists follow the same predictable process: gather requirements, collect data, build models, and only at the very end create visualisations to communicate results. This traditional approach seems logical, but what if it's actually worki... more

Data science training programs often jump straight into technical methods without teaching one of the most critical skills for project success - problem framing. Without proper framing, data science projects are doomed to fail, right from the start, ... more

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 problems: the 87% project failure rate. While data scientists excel at building mode... more

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Recent Guests

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
Professor Jeff Camm
Decision scientist and INMAR Presidential Chair in Analytics at Wake Forest University School of Business
Wake Forest University
Episode: Episode 80: Why Decision Scientists Succeed Where Data Scientists Fail
Daniel Bourke
Co-creator of Nutrify and teaches machine learning and deep learning at Zero to Mastery Academy.
Nutrify
Episode: Episode 78: From Machine Learning Engineer to Independent Data Professional Before 30
Dr. Russell Walker
Principal consultant at Walker Associates specializing in data science education and healthcare analytics.
Walker Associates
Episode: Episode 74: How Competitive Debating Frameworks Can Revolutionise Your Data Science Career
Tim O'Hearn
Software engineer and author of Framed, A Villain's Perspective on Social Media
Episode: Episode 73: [Value Boost] How to Trust Social Media Data When You Can't Trust Social Media
Nicholas Kelly
Author of 'Delivering Data Analytics' and 'How to Interpret Data'
Not mentioned
Episode: Episode 71: [Value Boost] Why Most Dashboards Fail and How to Fix Yours
Dr. Peter Prevos
Water engineer and data science team manager at a water utility
Water Utility in Regional Victoria
Episode: Episode 68: How to Market Your Data Science Skills Internally with the Insights-as-a-Service Approach
Dr. Brian Godsey
Data science lead at DataStax and author of Think Like a Data Scientist
DataStax
Episode: Episode 66: How to Think Like a Data Scientist (Even While AI Does All the Work)
Bill Shander
Founder of Beehive Media and author of Stakeholder Whispering
Beehive Media
Episode: Episode 65: [Value Boost] How to Upgrade Your Data Visuals Without Design Training

Host

Dr. Genevieve Hayes
Host of Value Driven Data Science, exploring data science's intersection with career growth and entrepreneurial opportunities.

Reviews

5.0 out of 5 stars from 13 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 States4 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
    Australia2 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
    Canada2 years ago

Listeners Say

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

Engaging conversations and expert insights are well-received, making it a recommended choice for anyone in data science.
The focus on actionable advice and real-world applications resonates strongly, inspiring listeners' careers.
Listeners appreciate the consistent, valuable advice provided for data professionals.

Chart Rankings

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

Apple Podcasts
#167
Austria/Technology

Talking Points

Recent interactions between the hosts and their guests.

Episode 82: Why You Should Start Your Data Projects with Pictures Not Data
Q: How do clients and prospective clients typically react when they first see your visual aesthetic?
It's a difference maker. It catches your attention, either you love it or you don't get it, and it takes you a second to land on why it hits.
Episode 82: Why You Should Start Your Data Projects with Pictures Not Data
Q: Can you give us an example of one of the sorts of games that you would use in order to gather these requirements?
Yeah, there's a very simple one. We call it How Might We? It's a conversation-based activity where we think through how we might serve somebody.
Episode 82: Why You Should Start Your Data Projects with Pictures Not Data
Q: What interests me about Superposition though is, everything you've just said, I'm aware of from conversations I've had with a lot of other senior data scientists and executives. But what strikes me as unique is your concept of moving the data visualization piece to the beginning. Where did that come from?
It came from a understanding of where the value is in actually reflecting on our client's problems, which is at the beginning.
Episode 81: [Value Boost] How to Frame Data Problems Like a Decision Scientist
Q: What's one specific thing you'd recommend our listeners do when they receive their next project request to start applying this framework?
Think beyond the data and consider the implications of deploying any model built, focusing on robust analysis rather than just answers.
Episode 81: [Value Boost] How to Frame Data Problems Like a Decision Scientist
Q: What happens if you have a situation where they tell you the symptoms and then they tell you what they can control and there isn't a way of alleviating the symptoms from what they can control?
We usually haven't really gotten to the real decision, or it may be that the system is so constrained that in fact they have no control.

Audience Metrics

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

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

Exploring the intersection of data science and career advancement, this podcast offers a blend of practical advice and expert insights tailored for data professionals. It focuses on transforming data skills into substantial career success, equipping listeners with strategies for effective communication and engagement with stakeholders. Each episode features discussions on essential topics like validating data products, navigating the transition to independent work, and implementing persuasive communication techniques, making it especially beneficial for anyone looking to boost their impact in the data science field. Unique for its emphasis on the business aspect of data science, it aims to empower listeners to take control of their career t... more

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1. Super Data Science: ML & AI Podcast with Jon Krohn
2. The Indicator from Planet Money
3. Planet Money
4. The Daily

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this podcast launched 3 years ago and published 83 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. David Cohen
2. Professor Jeff Camm
3. Daniel Bourke
4. Dr. Russell Walker
5. Tim O'Hearn
6. Nicholas Kelly
7. Dr. Peter Prevos
8. Dr. Brian Godsey

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