The data science salon is a unique vertical focused conference which grew into a diverse community of senior data science, machine learning and other technical specialists. We gather face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere.
Past Speakers

Ella Hilal
Director of Data at Shopify

Laya Shamgah
Data Scientist at Lowe's Companies, Inc.

Jeffrey Yau
Head of Data Science, Store Associate Technology at Walmart Labs

Nishan Subedi
Head of Algorithms, VP of Technology at Overstock.com

Barak Krakauer
Data Scientist at Levi Strauss & Co.

Ian Suvak
Senior Staff Engineer, Machine Learning Platforms Lead at Wayfair

Maia Brenner
Data Scientist at Tryolabs

Christopher Gutierrez
Chief Data Scientist at OfferUp

About
Data Science Salon unites the brightest leaders in the retail and ecommerce across the nation in data science fields. We gather face-to-face and virtually to educate each other, illuminate best practices, and innovate new solutions. Data Science Salon | Retail & eCommerce is the only industry conference that brings together specialists in the retail and ecommerce data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in retail and ecommerce through DSS podcasts, exclusive content, Webinars and live Trainings. DSS also has an extensive on-demand video library of presentations from the top industry experts.

A SAMPLE OF TOPICS COVERED
Personalization at Scale with AI
Cloud Automation and ML
Recommendation Engines
Designing ML pipelines efficiently
Natural Language Processing & Deep Learning
Deep Neural Networks
Image Recognition with ML
Using large scale data sets
Scaling ML Production
Data Science Teams: Managing, Building, Collaboration
Integrating Open Source Tools into your workflows
Improving Data Quality
Machine learning best practices
Data strategy and governance
Data ethics and bias
and More!
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