Panel Discussion: Careers in Data Science & Technology

Shima Imani (she/her)

Data and Applied Scientist

Microsoft

https://www.linkedin.com/in/shimaimani/

I received my PhD in Compute Science at University of California, Riverside. During Ph.D. my work was focused on Time Series data and prior to that I got my master degree in theoretical physics. Currently, I am a data and applied scientist at Microsoft and we try to help users in their journey when they are using Microsoft Apps.

Grace Tang (she/her)

Senior Data Scientist

Netflix

https://www.linkedin.com/in/tsmgrace/

Grace earned her PhD in Psychology from Stanford University, where she studied decision making in the brain. Since graduating in 2014, she has spent time in various companies, including an 11 person startup, Uber, and now Netflix.

Shujing Dong (she/her)

Research Scientist

Amazon

https://www.linkedin.com/in/shujing-dong

Shujing Dong has a Master degree in Data Science from UC Berkeley and a PhD in Linguistics from Nanyang Technological University, Singapore. Shujing has worked in Cornell and USC as visiting scholars. She is currently working as a Research Scientist in Amazon for developing NLP models and ML solutions for product experiences.

Franklin Horn (he/him)

Director of Product

Skillshare

https://linkedin.com/in/wfhorn

Franklin currently is director of product for the machine learning team at Skillshare, the online education platform for creativity. In the past, he's worked on large scale content personalization and advertising technology at companies like Quora, Whisper, Disney, and The Hollywood Reporter. Franklin graduated from UCSB in 2009 with his masters in cultural anthropology with a quantitative methods specialization, and has a bootcamp certification from General Assembly in Data Science.