data science Articles

  • open-sourcing-our-spark-inequality-a-b-testing-library

    Bringing Project Every Member to life: Open sourcing our Spark inequality A/B testing library

    May 26, 2020

    Co-authors: Guillaume Saint-Jacques, Stuart Ambler Last month on this blog, we introduced how we are building inclusive products through A/B testing, something we internally call Project Every Member, and discussed the novel application of inequality A/B testing using the Atkinson index and the use of this technique in the product design process at LinkedIn....

  • building-inclusive-products-through-a-b-testing

    Building inclusive products through A/B testing

    March 31, 2020

    Co-authors: Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, and Igor Perisic Introduction Previously on this blog, we’ve shared information on best practices in data science, particularly in areas such as A/B testing. We’ve also discussed the importance of ethics in fields such as data science, early implementations of “fairness by design” principles in our...

  • LinkedIn-2020-Emerging-Jobs-Report

    How we mapped the “skills genome” of emerging jobs

    December 10, 2019

    In today’s newly-published Emerging Jobs Report, we introduce the “skills genome methodology” to highlight the unique skills for emerging jobs—occupations that have experienced tremendous growth in hiring, but may not have had a correspondingly large or established workforce. Often, these jobs are relatively new, such as the top job globally on this year’s...

  • data-hub-logo

    DataHub: A generalized metadata search & discovery tool

    August 14, 2019

    Co-authors: Mars Lan, Seyi Adebajo, Shirshanka Das Editor’s note: Since publishing this blog post, the team open sourced DataHub in...

  • high-level-system-architecture

    Fairness, Privacy, and Transparency by Design in AI/ML...

    July 26, 2019

    Co-authors: Stuart Ambler, Ahsan Chudhary, Mark Dietz, Sahin Cem Geyik, Krishnaram Kenthapadi, Ian Koeppe, Varun Mithal, Guillaume...

  • cluster-illustration

    Detecting interference: An A/B test of A/B tests

    June 5, 2019

    At LinkedIn, most decisions are made using experiments. When we want to decide between two features, we test them against each other...