Panel on Data in the Media Industry (RSVP in Event Description)

Ever wondered what data jobs exist in the media industry? What it's like to work in audience analytics, as a data journalist, or business analytics at a publishing company? R-Ladies is hosting a panel to help answer these questions! Our panelists work at the New York Times, Bloomberg, and Penguin Random House, and they can provide insights around working as a data scientist in media.

***IMPORTANT NOTE ABOUT RSVPs***
Please RSVP using the following Google form (https://forms.gle/m1s47n3D11Qzt9cf9) so we can reach out to you about zoom link details closer to the event date.
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Event Timeline
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• 4:00pm - 4:10pm: event introduction and panelist introductions
• 4:10pm - 4:45pm: 35 minutes of prepared questions
• 4:45pm - 5:00pm 15 minutes of audience questions

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Speakers
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Hayley Arader is the Director of Audience Analytics at the New York Times, where she leads a team in using data to better understand and reach our readers. Before the Times, she worked at Civis Analytics as a Data Scientist and then Data Science Lead, where she and her team supported political campaigns and organizations with modeling, targeting, ad testing, and message research. Hayley graduated from Harvard University with a BA in Government and Statistics, where her research focused on identity and voter behavior. From research to politics to media, Hayley has written a lot of R code, and spent way too much time with ggplot.

Madeline Campbell is a data reporter at Bloomberg and she works on projects around the newsroom regardless of beat. Previously she worked in data science/analytics for a health research institute, tech company and political campaign. She is mostly a Python user but dabbles elsewhere.

Sophia Tee is a seasoned data science professional with over a decade of experience in the industry. Currently, she is a Director of Data Science, where she leads efforts in marketing attribution and automation of advertising workflows. Sophia's journey into data science began when she transitioned from financial operations at a hedge fund to pursue a career that allowed her to make greater and more thoughtful impact. Since then, she has been deeply involved in creating and delivering data science initiatives. In addition to her professional contributions, Sophia is committed to supporting the next generation of data scientists. She enjoys mentoring younger professionals and helping aspiring data scientists develop the skills they need to succeed.

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For questions regarding accessibility, please email us at nyc@rladies.org.