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

PublishesWeeklyEpisodes86Founded3 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

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 data scientists don't realise this and too many fall into the trap of believing thei... more

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. And office politics becomes especially tricky when you're running experiments. You... more

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 point is a human story - people clicking through websites, abandoning shopping cart... more

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

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Recent Guests

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 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
Author of "Framed: A Villain's Perspective on Social Media"
Episode: Episode 72: The Social Media Hacker's Guide to Better Data Science
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)

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
#37
Colombia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Episode 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments
Q: What's one simple technique our listeners can start using tomorrow to help reduce this political friction around their data science work?
Partner with influential stakeholders within the organization to champion experimental initiatives.
Episode 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments
Q: What does that research look like?
Using industry examples and understanding behavioral science can help back up proposals with research.
Episode 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments
Q: What is it about experiments that makes navigating office politics so much more challenging and critical than regular data science or analysis work?
Experiments involve challenging assumptions and bringing information that may go against people's usual opinions, which can make navigating office politics critical.
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.

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?

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. The Indicator from Planet Money
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this podcast launched 3 years ago and published 86 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. Miguel Curiel
2. David Cohen
3. Professor Jeff Camm
4. Daniel Bourke
5. Dr. Russell Walker
6. Tim O'Hearn
7. Nicholas Kelly
8. Dr. Peter Prevos

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