LinkedIn operates the world’s largest professional network with more than 645 million members in over 200 countries and territories. This team builds distributed systems that collect, manage and analyze this digital representation of the world's economy, while our AI experts, data scientists and researchers conduct applied research that fuel LinkedIn’s data-driven products and provide insights that shape our business decisions.
As a members-first organization, LinkedIn keeps the privacy and security of our members at the forefront in all of our work. We work to improve the relevance in our products, contribute to the open source community and are actively pursuing research in a number of areas: computational advertising, data and graph mining, machine learning and infrastructure, recommender systems, A/B testing, search and much more.
Interested in learning more about our Chief Data Officer Igor Perisic? He talked about our journey to data science in this podcast, while sharing lessons from his career journey in our "Leadership in Tech" LinkedIn Learning series.
In one way or another, artificial intelligence (AI) powers everything at LinkedIn. To help tackle our vision and mission, we use AI to assist with everything from finding our members the right job openings to surfacing better candidates for our customers.
This team equips LinkedIn with world-class data infrastructure by building highly operable, high leverage, and easy-to-use data storage, indexing, streaming, media, information retrieval and derived data applications.
We aim to maximize the power of data to benefit all of LinkedIn through science and engineering. Embedded across functions, our data scientists strive to help LinkedIn make more informed decisions via measurement, data analysis, insights, experimentation, and creative data solutions.
Analytics Platforms & Apps
The purpose of analytics platforms and related applications at LinkedIn is to enable others to derive near-limitless insights and intelligence from LinkedIn’s data.