Lin Huang
About
Lin Huang is from Greater Seattle Area. Lin works in the following industries: "Computer Software", and "Internet". Lin is currently Head of Science, Amazon Advertising at Amazon, located in Greater Seattle Area. Lin also works as Director of Data Science & Engineering at Reddit, Inc., a job Lin has held since Jan 2018. In Lin's previous role as a Head of Data Science - Content Analytics at LinkedIn, Lin worked in San Francisco Bay Area until Jan 2018. Prior to joining LinkedIn, Lin was a Group Manager of Data & Applied Science, Microsoft Advertising at Microsoft and held the position of Group Manager of Data & Applied Science, Microsoft Advertising at Greater Seattle Area. Prior to that, Lin was a Senior Applied Research Scientist at Microsoft, based in Greater Seattle Area from Jan 2010 to Jan 2013.
Lin Huang's contact information is available for free on finalscout.com, a web-based professional networking database with more than 500 million business contacts and 200 million company profiles.
Lin Huang's current jobs
Reddit is "the front page of the internet” with over 350M monthly active users and is the 3rd most visited site in US. I own the horizontal Data Org at Reddit, comprising multiple teams that span the entire Data space of Data Science, Data Analytics, and Data Engineering. It is an interdisciplinary org of quantitative scientists, product analysts and ML engineers that delivers research and services to fundamentally increase the magnitude of our successes. My org, as the scientific backbone of the company, drives impact across all manner of product, infrastructure and operational use cases at Reddit. I hire world-class talents (ICs & managers) in the following areas: - Data Science (Statistics/ML) - Product Analytics - Data Warehouse / BI - Data Engineering (Experimentation)
Lin Huang's past jobs
# Led and grew a highly capable and distributed team of data scientists (in Bay Area and NYC) to drive LinkedIn Publishing Platform on all Mobile and Desktop assets, developing data products for text, image, video and editorial content (partnering with the amazing global team of LinkedIn Editors) as featured on LinkedIn homepage feed. This work is core in growth and engagement of LinkedIn members, who establish their brand, while enabling their networks to stay informed by publishing quality contents. # Empowered product and executive team to convert our rich data into data products that truly serve our members. My team is highly valued as experts in experimentation, tracking, prediction, and analyses of online user behavior to generate insights about user experience that inform product strategy and identify business opportunities.
# Managed a team of PhD level data & applied scientists to drive $5B+ Bing Ads data products and tools to guide sales, marketing and product initiatives # Represented Microsoft in various high-profile industry conferences and webinars on technology and business, including SMX, ad:tech, & Bing Ads Advertiser Science Webinar Series, with extensive media coverage
# Developed and productized Bing Ads Advertiser Experimentation & Program Measurement Platform # Pioneered multiple ML/AI breakthroughs in Search Engine Marketing: incl., conversion attribution, social influencing and complex advertiser experiment designs