Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

VARIANCE

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by Pritul Patel

2 episodes

Updated Daily

Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Authority

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PoorBased on show quality, social media presence, reviews, charts, and more

Quality26

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YouTube68

Engagement0

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Podcast Overview

Variance explores the journeys of Data scientists, Product owners, Econometricians, Consultants specializing in the field of Experimentation and Observational Causal inference. Hosted by Pritul, a Data scientist who has spent 11 years scaling experimentation methods, infrastructure, and programs at scale at companies like Apple (Apple Podcasts), Peacock TV (streaming), ebay (ecommerce), and Yahoo (media), solving unique challenges of statistics and scalability. Each episode is with a new guest where topics like debates in statistical methods, history, unique perspectives.

Language

🇺🇲

Publishing Since

2/7/2025

Visit Website View on Apple Podcasts RSS Feed

🇺🇸 Charts #3

Outreach generated

Apple 142

Spotify 827

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Podcast Authority

Beta

PoorBased on show quality, social media presence, reviews, charts, and more

Quality26

Social0

YouTube68

Engagement0

Learn more

Excellent Areas

Good Performance

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excellent

Episode Length

38 minutes

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Every 12 days

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Recent Episodes

March 3, 2025

Statistical Pitfalls in Tech Experimentation - My Journey Through eBay, Apple and Yahoo

In this special second episode, the roles reverse as I share some stories from my extensive experimentation background across tech giants like eBay, Apple, and Yahoo. This is a cut from my first episode with Ishan where Ishan asked me about my experience. Discover the statistical challenges that plagued major experimentation platforms - from misaligned alpha thresholds and rampant false positives to the complexities of handling extremely skewed revenue metrics. Learn how I rebuilt trust in A/A testing through blind studies, applied multiple comparison corrections, and navigated the challenges of KPI engineering for metrics with distributions spanning from $1 to $8,000. This candid behind-the-scenes look into real-world experimentation reveals why understanding statistical concepts is crucial for accurate decision-making in tech. Perfect for data scientists, analysts, and product managers working with experiments and causal inference at scale.

February 7, 2025

Ishan Goel - From Computer Science to Data Science Research

Welcome to the first episode of Variance, a podcast where I explore experimentation, basic statistics, and data science career through conversations with industry experts. In this episode, I sit down with Ishan Goel, former Associate Head of Data Science at VWO (Visual Website Optimizer), where he led data science research and helped build VWO's new stats engine.Topics covered include:🟣 Transition from computer science to data science🟣 The role of experimentation in modern businesses🟣 Statistical concepts and methodologies🟣 Career advice for aspiring data scientists🟣 Common challenges in A/B testing Connect with Ishan:LinkedIn: https://www.linkedin.com/in/i-goel/Weekly Experimentation Webinars: Every TuesdayUpcoming Course on Experimentation Leadership (stay tuned)Connect with Pritul:LinkedIn: https://www.linkedin.com/in/pritul-patel

2 total episodes available

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Frequently asked questions

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What is VARIANCE?: Variance explores the journeys of Data scientists, Product owners, Econometricians, Consultants specializing in the field of Experimentation and Observational Causal inference. Hosted by Pritul, a Data scientist who has spent 11 years scaling experimentation methods, infrastructure, and programs at scale at companies like Apple (Apple Podcasts), Peacock TV (streaming), ebay (ecommerce), and Yahoo (media), solving unique challenges of statistics and scalability.

Each episode is with a new guest where topics like debates in statistical methods, history, unique perspectives.
How often does this podcast release new episodes?: This podcast updates daily.
Where can I listen to this podcast?: This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: Yes, this podcast regularly features guests.

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