Our data scientists and researchers work to unlock the potential in our data to change the world by empowering professionals to become more productive and successful.
LinkedIn operates the world’s largest professional network on the Internet with more than 433 million members in over 200 countries and territories. This highly structured dataset gives our data scientists and researchers the ability to conduct applied research that fuel LinkedIn’s data driven products including search, social graph, and machine learning systems. As a members first organization, LinkedIn keeps the privacy and security of our members at the forefront in all our research.
LinkedIn’s team of data scientists and researchers work with huge amounts of data, solve real problems for our members around the world, and publish at major conferences. They work to improve the relevance in our products, contribute to the open source community, and are actively pursuing research in a number of areas, including:
- Computational advertising
- Data & graph mining
- Machine learning & infrastructure
- Recommender systems
- Online experimentation and A/B testing
- Text mining and sentiment analysis
- Machine translation, cross language text analysis
- Security & spam
- Information extraction
- Content understanding
- Scalable computing paradigms (MapReduce, Spark, etc.)
- Network visualization