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Indeed Data Science Tech Talk

Indeed Recruiting

Wednesday, May 22, 2019 from 6:30 PM to 8:30 PM (Singapore Standard Time Singapore Time)

Indeed Data Science Tech Talk

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Register Interest 22h 56m Free  

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Event Details

Are you a data scientist? A statistician who works with machine learning? Or do you just love exploring data?

Indeed is the #1 job site in the world, with 250 million monthly users, 40 million active jobs and 120 million resumes. We have petabytes of data about jobs, resumes, clicks, impressions, applies, and hires — data that tells us everything about how these job seekers are discovering and finding new jobs. This data flows into sophisticated data science solutions that power Indeed’s most important products. Imagine the possibilities with that amount of data!

We are pleased to invite you to attend a Tech Meet-up event at our Indeed Singapore Engineering Centre. Come join us if you are keen to learn about how different data related projects are at Indeed and how we help people get jobs. 


Please register your interest here and we will email you a ticket by 15 May once your slot is confirmed. 




6.30pm - 7.00pm: Registration & Networking
7.00pm - 7:05pm: Opening - Donal
7.05pm - 7.35pm: Quantifying Uncertainties in Job Salary Regression - Yunye

7.35pm - 7.40pm: Break
7.40pm - 8.10pm: Introduction to Product Science and experimentation at Indeed - Ying-Ting
8.10pm - 8.30pm: Closing, Q&A & Networking


Donal McMahon



Donal is the Senior Director of Data Science for the past 3 years, based in Indeed's Austin office. He was previously working as a Data Scientist in Google for more than 6 years. Donal has been helping people get jobs for the past two years. He estimates that if Indeed keeps growing at its current rate, we’ll employ over 50% of the world’s workforce by 2038, just before civilization collapses because of the Year 2038 Problem. Until then, though, Donal is going to use math, science, and software to help millions of people make smarter, faster and geekier employment decisions.


Yunye Jin



Yunye is a Data Scientist at Indeed's Singapore office. He is fully embedded with our product team as an analytics and modelling expert. He helps people get jobs by discovering compensation insights, through exploratory data analytics and machine learning. Prior to joining Indeed, he has hacked Wi-Fi and Bluetooth drivers, soldered sensor boards, written signal processing code on fixed-point micro-controllers, designed and implemented real-time crowd monitoring algorithms (in that order). He continues fantasizing about becoming a "full-stack" technologist.

Ying-Ting Lin



Ying-Ting is a Product Scientist at Indeed’s Tokyo office. She works closely with product teams and helps them make data-driven decisions. She helps improve experiment practices, evaluate new experiment methodology, and predict advertiser churn. She organizes Data Science meetups in the Tokyo office and is enthusiastic about learning. Outside of work, Ying-Ting enjoys traveling around Japan and exploring Japanese culture. Before joining Indeed Tokyo, Ying-Ting studied and worked in several cities, including Hong Kong, St. Louis, Washington DC, Taipei and Bangkok.

Ying-Ting will be presenting "Introduction to Product Science and experimentation at Indeed"

- How Product Science's role fits into Indeed

- Overview of experimentation at Indeed and related projects

- Other Product Science projects

Have questions about Indeed Data Science Tech Talk? Contact Indeed Recruiting

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When & Where

WeWork Beach Centre
15 Beach Road
Level 2
Singapore, 189677

Wednesday, May 22, 2019 from 6:30 PM to 8:30 PM (Singapore Standard Time Singapore Time)

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Indeed Recruiting

As the world's No. 1 job site, Indeed helps companies of all sizes, even entire industries, work, too. Every second of every day, people search on Indeed to find a job that fits their mission, their need to contribute and their desire to make something work better.

Come help Indeed work. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.

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