We updated this event with Double talks from Airbnb

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I am very excited to have invited Jeff Feng from Airbnb to talk about the data science echo system at Airbnb. Jeff is key note speaker of the recent Conference. Don't miss this great talk.

Talk Title:

Take 1: How Airbnb Does Data Science

Abstract:

Airbnb is a trusted community marketplace for people to list, discover, & book unique accommodations & experiences around the world. As a consumer company, data represents the voice of Airbnb's users at scale, & Data Scientists play the role of interpreter. Data Scientists at Airbnb face unique challenges due to the dynamics of our two-sided marketplace, the online & offline components of our platform & the vast surface area of our product.

At the SF Big Analytics Meetup, I will discuss Airbnb's emphasis on having an experimentation-centric culture & applying machine learning rigorously to address our unique product challenges. Additionally, I will summarize Airbnb's approach in scaling a team from 1 to 100 Data Scientists. This includes our strategy of embedding Data Scientists on every team, investing heavily in data infrastructure & tooling before scaling Data Science, & providing broadly accessible data education to everyone in the company.

Sparker:

Jeff Feng

Airbnb Product Manager for Analytic Products & Experimentation Platform

Bio:

Jeff Feng leads development for Analytic Products, Data Visualization & Experimentation Platform as a Product Manager at Airbnb Prior to Airbnb, Jeff was a Product Manager at Tableau where he led their Big Data product roadmap, a consultant in the high tech practice at McKinsey & a Product Manager at Apple where he helped with the launch of the iPhone 4. He holds an MBA from MIT Sloan & a MS & BS in Electrical Engineering at the University of Illinois at Urbana-Champaign.

Talk 2: Democratizing Data at Airbnb --

His talk will be on a tool called theDataportal

Speaker John Bodley

Agenda

6 pm -- door opens

6:00 -- 6:45 pm -- check-in, light dinner, networking

7:15 pm -- door closed by Security

6:50 pm -- 7:35 pm Talk 1 + QA

7:35 pm --- 8:20 pm Talk 2 + QA

8:30 pm --- 9 pm . networking & closing

9:15 pm -- office closed.