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    For all the talk of automation, artificial intelligence, and machine learning in the data science world today, curious and motivated people are still the most important component of a successful team. But building a team full of these bright people is much easier said than done.

    In this on-demand session, we’ll take a look at the composition of a best-in-class data science team, and help you understand how to build out the function in your organization.

    In this webinar, you’ll learn:

    • The most important roles on a high-performance data science team.
    • The pros and cons of several different team structures, and which one is right for you.
    • How to get internal buy-in to create your data science team.

    Building a Nonprofit Data Science team webinar

    Cartoon picture of data team roles

    Graph describing how data driven decision making works

    Kendra-Gedney

    About The Speaker

    Kendra Gedney is a Senior Applied Data Scientist at Civis Analytics focused on the nonprofit sector. Prior to Civis, she worked in media as part of the audience insights team at ESPN. She has a Masters in Analytics from Georgetown University and is currently based in DC.

    About Civis Analytics

    At Civis, we take a science-first approach to solving business problems using person-level data. With a blend of proprietary technology and statistical advisory services, we help public and private sector organizations find, understand, and connect with the people they care about, so they can stop guessing and start using statistical proof to guide decisions. We know others use “data science” and “analytics” as buzzwords, but at Civis we don’t stand for fluff, and we will always deliver scalable products and technologies — not PowerPoints — to drive your business forward.