The Data Scientist Show
A podcast by Daliana Liu
Categories:
89 Episodes
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Ads forecasting at Netflix and Spotify, how to build your personal moat - Jeff Li - The Data Scientist Show #069
Published: 9/14/2023 -
A/B testing at Airbnb, building next-gen experimentation platform at Eppo - Che Sharma - The Data Scientist Show #068
Published: 8/25/2023 -
From data scientist@Meta to full-time YouTuber (500k+ sub), AI engineering, future of work - Tina Huang - The Data Scientist Show #067
Published: 8/10/2023 -
Making LLMs hallucinate less, how to diagnose ML models, from PM in Google AI to CEO of Galileo - Vikram Chatterji - The Data Scientist Show #066
Published: 8/1/2023 -
Data Science "Mix Martial Arts", applied re-inforcement learning, scaling AI workloads using Ray - Max Pumperla - The Data Scientist Show #065
Published: 7/28/2023 -
Uber's ML Systems (Uber Eats, Customer Support), Declarative Machine Learning - Piero Molino - The Data Scientist Show #064
Published: 7/4/2023 -
Data science in transportation, the intersection of operations research and ML - Holger Teichgraeber - The Data Scientist Show #063
Published: 6/26/2023 -
Tackling data quality issues, 5 pillars of data observability, from management consultant to CEO of Monte Carlo - Barr Moses -The Data Scientist Show #062
Published: 5/18/2023 -
Is search dead? Google vs ChatGPT, from Google Search to enterprise search at Glean, machine learning in search, tech layoffs - Deedy Das - The Data Scientist Show #061
Published: 2/21/2023 -
The 100-hour work week of an self-taught machine learning researcher, how he got into Google Brain, why he started Omni - Jeremy Nixon - The Data Scientist Show #060
Published: 2/20/2023 -
The power of error analysis, tree models for search relevancy, what ChatGPT means for data scientists - Sergey Feldman - The Data Scientist Show #059
Published: 1/24/2023 -
How to build data science muscle memory, DeepChecks -- an open source ML testing suite - Philip Tannor - The Data Scientist Show #058
Published: 12/7/2022 -
The Daliana Special: how did I got into data science, 5 things only experienced data scientists know, and why I started "The Data Scientist Show" - Daliana Liu #057
Published: 11/24/2022 -
How he carved his own path at Airbnb, from data engineer to CEO of Mage - Tommy Dang - the data scientist show #056
Published: 11/8/2022 -
How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055
Published: 10/24/2022 -
From Amazon research scientist to head of data product at Vestiaire Collective, why data science projects fail, how to be a good communicator - Alisa Kim - the data scientist show #054
Published: 10/19/2022 -
The lessons from almost losing a million dollars for his company, how to build good data assets and get buy-in from the leadership - Mark Freeman - the data scientist show#053
Published: 10/15/2022 -
From deep learning architect at AWS to PM in AI product - Abhi Sharma - the data scientist show #052
Published: 10/4/2022 -
What data scientists need to know about MLOps principles, from GPA 2.6 to Sr. MLOps Engineer@Intuit - Mikiko Bazeley - the data scientist show051
Published: 9/27/2022 -
Bayesian thinking in work and life, ad attribution models and A/B testing, machine learning@Foursquare - Max Sklar - the data scientist show050
Published: 9/13/2022
A deep dive into data scientists' day-to-day work, tools and models they use, how they tackle problems, and their career journeys. This podcast helps you grow a successful career in data science. Listening to an episode is like having lunch with an experienced mentor. Guests are data science practitioners from various industries, AI researchers, economists, and CTOs of AI companies. Host: Daliana Liu, an ex-Amazon senior data scientist with 180k followers on Linkedin. Join 20k subscribers at www.dalianaliu.com to learn more about data science, career, and this show. Twitter @DalianaLiu.