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

Dr Genevieve Hayes
  • 5.0 (6)
  • TECHNOLOGY
  • UPDATED WEEKLY
Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

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 with data pros who offer no-nonsense advice on: • Creating data solutions that bosses can’t ignore; • Bridging the gap between data geeks and decision-makers; • Charting your own course in the data science world; • Becoming the go-to data expert everyone wants to work with; and • Transforming from data scientist to successful datapreneur. Whether you’re eyeing the corner office or sketching out your data venture on your lunch break, Value Driven Data Science is here to help you rewrite your career algorithm. From algorithms to autonomy - it's time to drive your value in data science.

  1. 2D AGO

    Episode 71: [Value Boost] Why Most Dashboards Fail and How to Fix Yours

    Most dashboards and reports get ignored despite all the technical expertise that goes into creating them. The reason isn't technical limitations or poor data quality - it's that they fail to deliver value to the people who are supposed to use them. In this Value Boost episode, Nicholas Kelly joins Dr. Genevieve Hayes to reveal proven strategies for increasing dashboard adoption and showcasing your value as a data professional. In this episode, you'll discover: The number one reason why dashboards fail [01:15]The three-bucket framework that transforms dashboard development [04:06]How to salvage an already-built dashboard [07:12]The simple wireframing technique that opens doors to meaningful user conversations [10:08]Guest Bio Nicholas Kelly is the founder of Delivering Data Analytics, a consultancy focused on helping organisations enable their teams to make smarter, faster, and more confident decisions through data and AI. He is also the author of Delivering Data Analytics and the recently released How to Interpret Data. Links Nicholas's WebsiteConnect with Nicholas on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    11 min

  2. JUL 2

    Episode 70: How to Interpret Data Like a Pro in the Age of AI

    Despite unprecedented data abundance and widespread data science education, even experienced data professionals still struggle to interpret data effectively. They draw wrong conclusions, miss critical insights, or fail to communicate findings in actionable ways. In this episode, Nicholas Kelly joins Dr. Genevieve Hayes to tackle the critical challenge of data interpretation - revealing why technical expertise alone isn't enough and sharing practical frameworks for transforming raw data into actionable business insights that drive real organisational change. This conversation reveals: The four primary challenges that make data interpretation so difficult [02:24]Why ChatGPT and AI tools are changing the data interpretation landscape [06:23]The "Five Whys" technique that ensures you're asking the right questions instead of wasting time on problems everyone already understands [17:32]Why successful data projects don't end with presenting insights and what to do next [20:01]Guest Bio Nicholas Kelly is the founder of Delivering Data Analytics, a consultancy focused on helping organisations enable their teams to make smarter, faster, and more confident decisions through data and AI. He is also the author of Delivering Data Analytics and the recently released How to Interpret Data. Links Nicholas's WebsiteConnect with Nicholas on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    29 min

  3. JUN 25

    Episode 69: [Value Boost] The Value Proposition Framework Every Data Scientist Needs to Master

    Can you clearly articulate what makes your data science work valuable - both to yourself and to your key stakeholders? Without this clarity, you'll struggle to stay focused and convince others of your worth. In this Value Boost episode, Dr. Peter Prevos joins Dr. Genevieve Hayes to share how creating a compelling value proposition transformed his data team from report writers to strategic partners by providing both external credibility and internal direction. This episode reveals: Why a clear purpose statement serves as both an external marketing tool and an internal compass for daily decision-making [02:09]A framework for identifying your stakeholders' true pain points and how your data skills can address them [04:48]A practical first step to develop your own value statement that aligns with organizational strategy while focusing your daily work [06:53]Guest Bio Dr Peter Prevos is a water engineer and manages the data science function at a water utility in regional Victoria. He runs leading courses in data science for water professionals, holds an MBA and a PhD in business, and is the author of numerous books about data science and magic. Links Connect with Peter on LinkedInA Brief Guide to Providing Insights as a Service (IaaS)Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    9 min

  4. JUN 18

    Episode 68: How to Market Your Data Science Skills Internally with the Insights-as-a-Service Approach

    Internal data science teams face a unique challenge - they're providing an invisible service that only gets noticed when something goes wrong. This puts data scientists in the awkward position of having to market themselves within their own organization, without any marketing training. In this episode, Dr. Peter Prevos joins Dr. Genevieve Hayes to share how he applied his PhD research in services marketing to transform his water utility's data team from "report writers" to strategic partners by positioning data science as "Insights-as-a-Service." This episode explains: Why treating data science as "Customer Satisfaction Engineering" rather than technical implementation shifts everything about team effectiveness [08:19]How understanding both the financial and psychological "price" users pay for insights leads to dramatically better adoption [14:36]The treasure hunt technique that transformed how stakeholders discover and engage with available data resources [18:17]Why the mantra "99% of business problems don't need machine learning" can paradoxically increase your data science impact [22:29]Guest Bio Dr Peter Prevos is a water engineer and manages the data science function at a water utility in regional Victoria. He runs leading courses in data science for water professionals, holds an MBA and a PhD in business, and is the author of numerous books about data science and magic. Links Connect with Peter on LinkedInA Brief Guide to Providing Insights as a Service (IaaS)Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    25 min

  5. JUN 11

    Episode 67: [Value Boost] The 3 Level Hierarchy That Protects Your Data Science Credibility

    When deadlines loom, it's easy for data scientists to fall into the trap of cutting corners and bending analyses to deliver what stakeholders want. But what if a simple framework could help you maintain quality under pressure while preserving your professional integrity? In this Value Boost episode, Dr. Brian Godsey joins Dr. Genevieve Hayes to reveal his powerful "Knowledge first, Technology second, Opinions third" hierarchy - a  framework that will transform how you handle stakeholder pressure without compromising your standards. In this episode, you'll discover: Why this critical hierarchy gets dangerously inverted when deadlines loom and how to prevent it from undermining your credibility [01:05]How to resist the career-limiting trap of cherry-picking facts that merely support executive opinions [04:09]A practical note-taking technique that keeps you anchored to reality when stakeholders push for convenient answers [06:04]The one transformative habit that separates truly valuable data scientists from those who merely validate existing assumptions [07:17]Guest Bio Dr Brian Godsey is a Data Science Lead at AI platform as a service company DataStax. He is also the author of Think Like a Data Scientist and holds a PhD in Mathematical Statistics and Probability. Links Brian's websiteConnect with Brian on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    8 min

  6. JUN 4

    Episode 66: How to Think Like a Data Scientist (Even While AI Does All the Work)

    The data science world has always been obsessed with tools and techniques - a fixation that's only intensified in the era of generative AI. Yet even as ChatGPT and similar technologies transform the landscape, the fundamental challenge remains the same - turning technical capabilities into business results requires a process most data scientists never learned. In this episode, Dr. Brian Godsey joins Dr. Genevieve Hayes to discuss why the scientific process behind data science remains more critical than ever, sharing how his original "Think Like a Data Scientist" framework has evolved to harness today's powerful AI capabilities while maintaining the principles that drive real business values. This conversation reveals: Why the seemingly basic question "Where do I start?" continues to derail data scientists' effectiveness and how mastering the right process can transform your impact [01:15]The three stages of the data science process that remain essential for career success even as AI dramatically changes how quickly you can execute them [11:07]How the accessibility revolution of generative AI creates new career opportunities for data scientists in organizations that previously couldn't leverage advanced analytics [18:34]The underrated troubleshooting skill that will make you invaluable as organizations increasingly rely on "black box" AI models for business-critical decisions [20:21]Guest Bio Dr Brian Godsey is a Data Science Lead at AI platform as a service company DataStax. He is also the author of Think Like a Data Scientist and holds a PhD in Mathematical Statistics and Probability. Links Brian's websiteConnect with Brian on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    24 min

  7. MAY 28

    Episode 65: [Value Boost] How to Upgrade Your Data Visuals Without Design Training

    Even the most brilliant data analysis can fall flat when presented with poor visualisations. Many data scientists simply use default charts from their analysis software, missing the opportunity to create compelling visuals that drive understanding and decision-making. In this Value Boost episode, Bill Shander joins Dr. Genevieve Hayes to share the design principles that can transform technical charts into powerful communication tools - even for those without formal design training. This quick-hit episode reveals: Why default visualisation settings in most software undermine effective communication [02:03]The research-backed "preattentive response" principle that determines whether your visualisation succeeds or fails [05:17]How the counterintuitive "do less" approach creates more impactful data stories [06:18]A simple glance test to immediately evaluate and improve any visualisation you create [11:21]Guest Bio Bill Shander is the founder of Beehive Media, a data visualisation and information design consultancy. He is also a keynote speaker; teaches workshops on data storytelling, information design, data visualisation and data analytics; and is the author of Stakeholder Whispering. Links Bill's WebsiteConnect with Bill on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    13 min

  8. MAY 21

    Episode 64: Stop Being a Data Waiter and Start Stakeholder Whispering

    Data scientists can often find themselves in a frustrating cycle - meticulously executing stakeholder requests only to discover what they delivered isn't what was actually needed. The disconnect between what stakeholders ask for and what truly solves their problems can derail projects and limit advancement of your career. In this episode, Bill Shander joins Dr. Genevieve Hayes to reveal the "Stakeholder Whispering" approach from his new book - a methodology that transforms technical experts from order-takers into strategic partners who uncover and address true business needs. This conversation reveals: Why stakeholders struggle to articulate what they truly need (and often don't even know themselves) [06:32]How the "Socratic method" creates breakthrough moments that help stakeholders discover their own requirements [11:00]The six-question framework that strategically alternates between divergent and convergent thinking to reveal hidden needs [14:54]Why approaching stakeholder conversations like a curious investigator rather than a cross-examiner builds trust and uncovers deeper insights [13:28]Guest Bio Bill Shander is the founder of Beehive Media, a data visualisation and information design consultancy. He is also a keynote speaker; teaches workshops on data storytelling, information design, data visualisation and data analytics; and is the author of Stakeholder Whispering. Links Bill's WebsiteConnect with Bill on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    26 min
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5
out of 5
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About

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 with data pros who offer no-nonsense advice on: • Creating data solutions that bosses can’t ignore; • Bridging the gap between data geeks and decision-makers; • Charting your own course in the data science world; • Becoming the go-to data expert everyone wants to work with; and • Transforming from data scientist to successful datapreneur. Whether you’re eyeing the corner office or sketching out your data venture on your lunch break, Value Driven Data Science is here to help you rewrite your career algorithm. From algorithms to autonomy - it's time to drive your value in data science.

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