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Elaine Pang
Data Science at Facebook
Elaine Pang is a highly experienced professional with a strong background in data analysis and data science, having accumulated over 6 years of expertise in this field.
She is a former LinkedIn alumni who is dedicated to contributing to Stripe's mission of increasing the GDP of the internet, thriving in fast-paced environments and valuing collaboration with smart, hardworking individuals willing to take intelligent risks.
Elaine's specialties include Python, SQL, Apache Pig, Hive, Tableau, R, data analysis, data visualization, A/B testing, machine learning, and product strategy.
She pursued her academic interests by obtaining a Bachelor of Science in Computing Mathematics from City University of Hong Kong and a Master of Science in Financial Mathematics from the University of Chicago.
Throughout her career, Elaine has held various roles in reputable organizations, including Data Science Manager at Facebook, Data Science Manager at Stripe, Data Scientist in Product Analytics at Stripe, Manager of Analytics and Data Science at LinkedIn, Senior Data Scientist in Analytics & Data Science at LinkedIn, and Data Scientist in Analytics and Data Science at LinkedIn.
She has also gained experience as a Marketing/Data Analysis Intern at Splashtop Inc., a Venture Capital Analyst Intern at DFJ Dragon Fund, and held a position as CFO/Committee at Shinect.
Highlights
Hello network! I'm looking for a Data Science Tech Lead (Specialized in ML) to join my team under Facebook Growth org. Our team tries to improve & iterate on production ML systems including Friending (People You May Know), Notifications, etc to improve user experience and drive app growth.
It's a senior "Tech Guru" role, so past experience working with/improving production ML systems will be a great plus :) If you/someone you know can be a good fit, please don't hesitate to send me a Linkedin message or email the resume to [email protected] !
https://lnkd.in/gHVpFAFF
Hello network! I'm #hiring a data science manager to support the rockstar Friending DS team at Meta: oversees the continued development of "People You May Know" ranking algorithm (arguably most fundamental to friendship network at FB and has driven massive user growth), evolution of model evaluation framework and value models, related integrity areas and close friends product experience.
As the area is highly technical and fundamental to FB, we'd need a manager with a good mix of technical skills and strategic leadership skills, ideally historical experience supporting relevance model development in production. If you/someone you know is a good fit for the role, please don't hesitate to send me an inmail or email the resume to [email protected] !
https://lnkd.in/gHku_MuG
