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

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

PublishesWeeklyEpisodes92Founded3 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

While the transition from academia to industry can be brutal for data scientists, academics don't show up in industry empty-handed. They bring powerful transferable skills that many industry-trained data scientists never develop.

In this Value Boost... more

Activities outside of data science can strengthen the very skills data scientists need for their careers in surprising ways. From improving stakeholder communication to learning how to work with resistance rather than against it, hobbies and interest... more

When most data scientists think about using LLMs and generative AI, the first thing that springs to mind is writing code faster. While that's certainly useful, if it's the only application you're exploring, you're missing some of the most powerful op... more

LinkedIn has become a powerful career tool for data scientists willing to invest the time. Regular posting can lead to unexpected work opportunities, reconnections with former colleagues, and valuable networking with professionals worldwide. But maki... more

Key Facts

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Find out how many people listen to this podcast per episode and each month.

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People also subscribe to these shows.

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Recent Guests

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 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments
David Cohen
Data and AI strategy consultant and founder of Superposition
Superposition
Episode: Episode 83: [Value Boost] How to Gamify Data Science Requirements Gathering for Better Results
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

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 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 States6 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
    Canada3 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
#219
Colombia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Episode 89: [Value Boost] LinkedIn Strategies for Boosting Your Data Science Career
Q: What strategy should data scientists implement tomorrow on LinkedIn?
Become more active on LinkedIn, comment on others' posts, and follow inspiring people or organizations.
Episode 89: [Value Boost] LinkedIn Strategies for Boosting Your Data Science Career
Q: If you could go back in time to before you started Dub Dub Data, would you think this would be a good strategy for you when you were an employee?
Yes, networking is crucial, and connecting with every person you've interacted with in a business sense is essential.
Episode 89: [Value Boost] LinkedIn Strategies for Boosting Your Data Science Career
Q: What are some of the biggest benefits you've experienced from posting on LinkedIn?
Being in the line of sight of potential clients and reconnecting with past colleagues have led to new opportunities.
Episode 88: Building a Data Science Career After Unexpected Job Loss
Q: What made you decide that consultancy was the way for you?
Initially seeking a smaller organization, Sarah eventually discovered through networking and conversations with her business partner that consultancy aligned better with their combined strengths and aspirations.
Episode 88: Building a Data Science Career After Unexpected Job Loss
Q: Can you start by telling us a bit about your own job loss story?
Sarah shares her experience of being made redundant and navigating her feelings around it, emphasizing the understanding that it is often a numbers game rather than a personal failure.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
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Age Range
Household Income
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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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These podcasts share a similar audience with this podcast:

1. DataFramed
2. Planet Money
3. The Daily

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this podcast launched 3 years ago and published 92 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. Colin Priest
2. Sarah Burnett
3. Danny Ruspandini
4. Miguel Curiel
5. David Cohen
6. Professor Jeff Camm
7. Daniel Bourke
8. Dr. Russell Walker

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