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.
Do you want to know how many people listen to Data Science Leaders? Or perhaps how many downloads it gets? Rephonic has scanned the web and collated all the information we found in our podcast database.
Listen to the audio and view podcast download numbers, contact information, listener demographics and more to help you make better decisions about which podcasts to sponsor or be a guest on.
Our search tool lets you find other similar podcasts that cover the same topic and allows you to compare the figures, so you can be informed when reaching out.
When highly disruptive events like the COVID-19 pandemic occur, data science teams may have to throw historical data out the window. Models trained on what happened in the past simply don’t work in a radically different present. more
Legal work may not be an obvious application of data science to many advanced analytics leaders. But that should change. more
Managing a large enterprise team of data scientists can be a complicated undertaking. There are so many opportunities, big and small, to serve the business with AI and machine learning. How do you ensure your teams are focused on the big picture with... more
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.
I find this podcast really enlightening whilst being casual and easy to listen to. Definitely would recommend to someone who wants to hear about real-world data science and how it fits into organisations
They’ve had some great speakers and content. I look forward to the next episode.
Suitably detailed and interesting topics.
Fun podcast! Cool to hear different perspectives on data science across industries.
Start by examining all the data that Rephonic provides for this podcast, including listener numbers, gender skew, and ratings. Access the podcast's contact information and send an email introducing yourself and showcasing the expertise you can bring to the interview.
Don't limit yourself to just Data Science Leaders though! Use our search tool to find other podcasts with a similar audience.
Begin by choosing the type of ad that is best for you or your business, whether that's pre-roll, mid-roll or post-roll. Next, check that the podcast's audience matches your target audience using the Rephonic database and reach out with the contact information provided.
Finally, ensure a successful sponsorship campaign by preparing an ad that addresses the audience's pain points.
The average rates for podcast ads are calculated on a CPM basis, Cost Per Mille (cost per 1000 listeners). The rates vary but you the following industry averages give you a good idea of what you can expect to pay:
Upgrade your account to see how many people listen to this podcast and get an idea of how much it costs to advertise on Data Science Leaders.
Discovering and researching podcasts you want to sponsor or be a guest on is time-consuming work. Rephonic has collated podcast data for over two million podcasts, including download numbers, listener demographics, and contact information to help you make better decisions and appear on the right shows.
Our ultimate goal is to save you time and help you get more subscribers, followers or customers.
To see the audience size of Data Science Leaders, simply upgrade your account. You'll find a whole host of extra information to help you decide whether appearing as a sponsor or guest on this podcast is right for you or your business.
If it's not, use the search tool to find other podcasts with subscriber numbers that match what you're looking for.
Prepare by gauging the podcast's target audience using Rephonic to see if you will be a good fit. Inject your personality into a persuasive outreach email that gets straight to the point, then use the contact information provided by Rephonic to get in touch.
Rephonic provides a full set of podcast information for two million podcasts, including the number of listeners. You can see some of this data for free. But you will need to upgrade your account to access premium data.
Data Science Leaders launched 9 months ago and published 34 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contact information for you.
Our systems scan a variety of public sources including the podcast's official website, RSS feed, and email databases to provide you with a trustworthy source of podcast contact information. We also have our own research team on-hand to manually find email addresses if you can't find exactly what you're looking for.
Rephonic pulls reviews for Data Science Leaders from multiple sources, including Apple Podcasts, Castbox, Podcast Addict and more.
View all the reviews in one place instead of visiting each platform individually and use this information to decide whether this podcast is worth pitching as a guest or sponsor.
You can view podcasts similar to Data Science Leaders by exploring Rephonic's 3D interactive graph. This tool uses the data displayed on the 'Listeners Also Subscribed To' section of Apple Podcasts to visualise connections between shows.