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    Paul Ko

    LinkedIn Data Science & Research Partnerships

    Paul Ko is a senior data science professional at LinkedIn, currently serving as the Head of Data & Research Partnerships and Senior Manager of Data Science.1 He leads a global team of economists and data scientists across San Francisco, New York, Dublin, and Singapore, focusing on providing data and research from LinkedIn's Economic Graph to governments and public organizations.1

    Professional Experience

    Paul has been with LinkedIn since October 2016, where he works on projects that aim to address challenges in the modern workforce.1 His team collaborates with governments, multi-lateral organizations, and academic institutions to:

    • Analyze talent and skill migration across regions and industries
    • Determine skill needs in specific markets
    • Develop solutions to provide economic opportunities for the global workforce

    Background and Education

    Paul holds a BA in Economics and Computer Science from the University of Chicago.1 His passion lies in analytics and data science, with a focus on building and leading versatile teams capable of tackling complex problems and developing creative solutions.1

    Notable Work

    Paul's team's work can be found at economicgraph.linkedin.com, where they make resources available such as:

    • World Bank/LinkedIn Research & Datasets
    • Workforce Data & Research

    During the COVID-19 crisis, Paul noted an increased demand for data, with new data sharing initiatives progressing rapidly in cities at all levels.2 He has also emphasized the importance of establishing frameworks for potential partnerships based on organizational needs and data sensitivity.2

    Highlights

    Senior Manager, Data Science at Capital One
    Jan 13 · coda.io
    Dropbox Alumni List - Coda
    Blog - Open Data Policy Lab

    Related Questions

    What are some of the most significant projects Paul Ko has led at LinkedIn?
    How does Paul Ko's team at LinkedIn collaborate with governments and academic institutions?
    What are the key challenges Paul Ko faces in his role at LinkedIn?
    How has Paul Ko's background in economics influenced his approach to data science?
    What technical tools does Paul Ko's team at LinkedIn use to solve complex problems?
    Paul Ko
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    Location

    New York, New York, United States