Millie's Guide to Data Science Careers
Ever wondered what computer vision, natural language processing, big data, and machine learning have in common?
These are all part of the fast-growing field of data science and AI. Join our panel of data scientists to learn more about careers in this emerging tech field.
- Phoenix Millacy Jay earned a MS in Applied Analytics in 2020 and a BA in East Asian Languages and Culture at Columbia University. She is currently an Analytics Engineer at soona (since Feb 2022) and was a A* Member and Facilitator at /dev/color (since Nov 2020). Prior to this, she was Data Project Manager and Analyst at Columbia University Irving Medical Center (2022), and Specialist in Finance Operations at Columbia University School of Professional Studies (2019). Phoenix is currently based in New York, United States.
- Arthur Herbout earned a MS in Data Science at Columbia University in 2020 and a MSc at CentraleSupelec in 2019. He is currently a Data Scientist at Bluecore (since Jan 2020). Prior to this, he was a Course Assistant at Columbia University (2019) and Data Scientist at iHeartRadio (2019). He also held a variety of intern roles at various organizations including Columbia University Irving Medical Center (2018), Institut Pasteur (2017-2018), and Nestor Paris (2016). Arthur is currently based in New York, United States.
- Aditya Tyagi earned a MS in Analytics at Northwestern University in 2020 and BS in Industrial Engineering and Operations Research at UC Berkeley in 2019. He is currently a Data Scientist at Deloitte Consulting (since Jan 2022). Prior to this, he was Data Scientist at Aimpoint Digital (2020-2022), Analytics Consultant at Cat Digital Labs (2020) and at Northwestern University (2020). He also held a variety of intern roles at various organizations including BoffinAI (2020), Symantec (2019), and Cognit Technology Solutions (2017). Aditya is currently based in the Greater Chicago Area, United States.