9 episodes

Data science is booming, but scaling it in the enterprise is hard. The playbook is still being written.

Data Science Leaders is a podcast for data science teams that are pushing the limits of what machine learning models can do at the world’s most impactful companies.

Each episode features an interview with a leader in data science. We’ll discuss how to build and enable data science teams, create scalable processes, collaborate cross-functionally, communicate with business stakeholders, and more.

Our conversations will be full of real stories, breakthrough strategies, and critical insights—all data points to build your own model of enterprise data science success.

Data Science Leaders is hosted by Dave Cole.

Data Science Leaders Domino Data Lab

    • Technology
    • 5.0 • 74 Ratings

Data science is booming, but scaling it in the enterprise is hard. The playbook is still being written.

Data Science Leaders is a podcast for data science teams that are pushing the limits of what machine learning models can do at the world’s most impactful companies.

Each episode features an interview with a leader in data science. We’ll discuss how to build and enable data science teams, create scalable processes, collaborate cross-functionally, communicate with business stakeholders, and more.

Our conversations will be full of real stories, breakthrough strategies, and critical insights—all data points to build your own model of enterprise data science success.

Data Science Leaders is hosted by Dave Cole.

    The 3 Biggest Jobs of Any Chief Data Officer (Heidi Lanford, Chief Data Officer, Fitch Group)

    The 3 Biggest Jobs of Any Chief Data Officer (Heidi Lanford, Chief Data Officer, Fitch Group)

    As more organizations recognize the power of data to transform their decision making (or for it to become a product in its own right), the role of the Chief Data Officer has become critical.
    So what are the biggest challenges facing every good CDO? And where do data science teams intersect with that work?
    In this episode, Dave Cole is joined by Heidi Lanford, Chief Data Officer at Fitch Group, to discuss strategies for cultivating partnerships between data science leaders and the Chief Data Officer.
    They also explored questions such as:

    What is the role of a CDO?
    What does “data as a product” mean?
    How can the CDO enable others to deliver insights?
    How do you start a data literacy program?
    What’s the deal with “citizen data scientists?”

    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Can't see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 43 min
    Navigating Data Constraints in the Highly-Regulated Healthcare Industry (Derrick Higgins, Head of Enterprise Data Science & AI, Blue Cross and Blue Shield)

    Navigating Data Constraints in the Highly-Regulated Healthcare Industry (Derrick Higgins, Head of Enterprise Data Science & AI, Blue Cross and Blue Shield)

    Data scientists in the healthcare industry face some especially tough challenges. Not only do they have to contend with complex regulatory landscapes impacting the data they can work with, but they’re also constrained by some less than modern processes.
    75% of medical communication is still delivered by fax. And that’s just one example.
    Derrick Higgins, Head of Enterprise Data Science & AI at Blue Cross and Blue Shield of Illinois, Montana, New Mexico, Oklahoma, and Texas, talks to us about the processes his team has put in place to overcome these unique challenges.
    In this episode, we cover:

    The challenges of working in a highly-regulated industry
    Implementing a continuous code review process
    Where IT intersects with the data science life cycle

    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Can't see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 29 min
    Bioinformatics and the Unprecedented COVID-19 Vaccine Race (Fiona Hyland, Director of R&D, Informatics, Thermo Fisher Scientific)

    Bioinformatics and the Unprecedented COVID-19 Vaccine Race (Fiona Hyland, Director of R&D, Informatics, Thermo Fisher Scientific)

    The field of bioinformatics plays a critical role in medical breakthroughs like the COVID-19 vaccine.
    Fiona Hyland, Director of R&D, DNA Sequencing Informatics at Thermo Fisher Scientific, teaches all of us about how it happened in the latest episode of Data Science Leaders.
    What we talked about:

    A quick run through genetics and bioinformatics terminology
    Bioinformatics, and the genetics of cancer and the coronavirus
    The role of data science in the development of the COVID-19 vaccine

    Check out these resources we mentioned during the podcast:

    COSMIC genetic database
    The 1000 Genomes Project
    gnomAD Genome Aggregation Database

    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.

    • 44 min
    Bridging the Gap Between Data Science and Business Outcomes

    Bridging the Gap Between Data Science and Business Outcomes

    The best data scientists are continually learning something new, taking on unfamiliar projects, and keeping their skills fresh.
    The best leaders in the industry create a culture where teams have opportunities to grow and are able to clearly understand and communicate data science concepts.
    In this episode, Dave Cole is joined by Dr. Satyam Priyadarshy, Managing Director for India Center, Technology Fellow, and Chief Data Scientist at Halliburton, to discuss how to explain complex subjects in simple terms for better business outcomes.
    Dr. Priyadarshy also explained:
    - How his experience as a professor has influenced him as a leader in data science
    - What governance he puts in place for his training methodology
    - How to cultivate a diverse workforce
    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.

    • 33 min
    Challenges and Opportunities in Operationalizing Data Science

    Challenges and Opportunities in Operationalizing Data Science

    Data science operationalization is a simple enough concept.
    But in practice it can be a complicated and often overwhelming challenge.
    In this episode, Dave Cole is joined by Nishan Subedi, VP, Algorithms at Overstock.com, to discuss the best way to operationalize data science.
    Nishan talked about:
    - The data science experts that make up the team at Overstock
    - Strategies to improve search and measure search success
    - The difference between ML engineers and ML scientists
    - How to design teams around product orientation
    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.

    • 42 min
    How to Be a Truth-Seeking, Truth-Telling Partner in Data Science

    How to Be a Truth-Seeking, Truth-Telling Partner in Data Science

    Data science teams are responsible for delivering impactful models, of course.
    But they’re also responsible for translating that impact (and all the work that goes into it) for business stakeholders of all kinds.
     
    In this episode, Dave Cole is joined by Nate Litton, Vice President, Data & Analytics at Toyota North America, to discuss strategies to strengthen the relationship between data science leaders and their business counterparts.
     
    They also talked about:
    - How to structure your organization for great partnerships
    - Cultivating your teams’ soft skills alongside their technical skills
    - How to measure stakeholder engagement and partnership success
    - What to do with difficult partnerships
    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.

    • 38 min

Customer Reviews

5.0 out of 5
74 Ratings

74 Ratings

lindathecrumpette ,

Great resource

Whether you are a data scientist, a data scientist leader or an IT leader, you will learn something in each and everyone of the Podcasts from Domino Data Lab. Come join the fun.

Vplaytown ,

Really Good!

Fun podcast! Cool to hear different perspectives on data science across industries.

power2know ,

Best show on the business impact of data science

Dave, I enjoyed the insights your guest shared, particularly some of the lessons learned. Looking forward to hearing who you have on next.

Top Podcasts In Technology