Full insights of the use of Data SCIENCE TO SCALE TO MILLIONS OF USERS
PER DAY AND HOW TO CREATE A SOLID DATA SCIENCE TEAM. Letgo and Clarity
AI are partnering to share their knowledge, tools and best practices
with Madrid’s Data Science community.
1ST TALK: SEARCH & RELEVANCE AT SCALE FOR ONLINE CLASSIFIEDS
SUMMARY: LETGO is a two-sided marketplace to buy and sell second-hand
goods locally. Search relevance for local marketplaces faces
challenges that are significantly different from the ones in web or
e-commerce search: each listing is unique and the catalog is extremely
volatile as listings get sold and posted continuously. In addition,
listing descriptions, being user generated content, are usually short
and noisy.
We will discuss those differences and present the solutions we
developed at letgo with two main focuses: How the search platform was
designed in order to scale to millions of daily users, and how
relevance was improved. We will also survey techniques to improve
precision and recall, and how to evaluate offline and online candidate
changes in the system.
2ND TALK: HOW TO SET UP A DATA SCIENCE TEAM: TOOLS, SWEAT AND TEARS.
SUMMARY: In this talk, I'll share my experience setting up Data
SCIENCE TEAMS IN NETFLIX, MIROCULUS, AIRBNB and CLARITY. More
specifically, the lessons I've learned about which skills you should
look for in a Data Scientist, how a Data Science team should fit
within an organization, how to adapt the Agile Methodologies to the
Data Science and which tools and best practices can help the Data
Science teams to perform effortless in their activity. While we are at
it, I'll also discuss some IRL anecdotes, show you my favourite tools,
and confess more than one mistake...
_Speaker: Antonio Molins_ is the Chief Data Scientist of Clarity AI, a
startup focused on improving the efficiency of capital allocation in
order to optimize social impact. Prior to that, he spent years in
NETFLIX, where he went from developing recommendation algorithms to be
product owner of all recommendation algorithms in the product. Antonio
has also worked in AIRBNB, where he optimize marketplace SEARCH; at
MIROCULUS, where he designed predictive models for early cancer
diagnostics; and at GOLDMAN SACHS, where he developed and validated
risk models for commodity derivatives. He holds a PhD in Medical and
Electrical Engineering from the Harvard/MIT division for Health
Sciences and Technology, a MS in Electrical Engineering and Computer
Science from MIT, and a Superior Telecommunications Engineer degree
from UPM.
business
technology
Start Up
culture
4097
Views
19/07/2019 Last update