Danielle is the Lead Data Scientist at Recurly, where she leads the data science team to deliver end-to-end data science and analytics solutions for our subscription merchants. With more than 12 years of experience in machine learning, statistical modeling, and data analytics, Danielle fosters a team culture of collaboration and continuous learning at Recurly. Prior to joining Recurly, Danielle played pivotal roles on data science teams at PayPal, Walmart Labs, eBay, and more. She has a bachelor or science in Virology and Molecular Biology from Wuhan University, as well as a masters in Statistics from the University of California at Berkeley.
Thousands of innovative companies across digital media, streaming, publishing, SaaS, education, consumer goods, and professional services industries rely on Recurly to unlock transformational growth using subscriptions. Recurly’s all-in-one, integrated platform removes the complexities of automating subscription billing at scale by enabling teams to manage and optimize their subscriber lifecycles with ease. Category-defining companies including Sling, Twitch, BarkBox, FabFitFun, Paramount, Lucid, and Sprout Social have chosen Recurly to manage billions of dollars in recurring revenues, future-proof their recurring billing and payment operations, and recover millions of dollars in lost revenue due to churn. Founded in 2009, Recurly is based in San Francisco, with offices in Boulder, New Orleans, and London. For more information, visit https://recurly.com.
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Managing subscriptions just got easier with an update to Recurly's subscription logic. In the past, merchants could allow customers to sign up for multiple subscriptions of different plans and multiple...
