Position:
Staff Data Scientist at Code for America
Location:
San Francisco Bay Area, United States
Found email addresses for Maximilian Hell:
Found phone for Maximilian Hell:
May 2024 - Current
Oct 2019 - May 2024
Jul 2012 - Sep 2019
Jan 2015 - Jan 2018
Their professional focus is Data Analysis, Data Science, and Data Warehousing across 3 core areas.
Doctor of Philosophy - PhD at Stanford University
Master of Science - MSc at University of Oxford
Exchange Year at The University of British Columbia
Bachelor of Arts - BA at Sciences Po
What is Maximilian Hell's email address?
SignalHire found a verified business email address for Maximilian Hell: h**@codeforamerica.org.What is Maximilian Hell's phone number?
SignalHire found a verified phone number for Maximilian Hell: +1-***-***-1013.How do I contact Maximilian Hell at Code for America?
You can reach Maximilian Hell through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Maximilian Hell's professional background?
Maximilian Hell has 14 years of professional experience. They have held roles including Senior Data Scientist, Graduate Research Assistant, Center on Poverty and Inequality, and Social Science Data and Software Consultant at companies such as Code for America, Stanford University, and Stanford University. Their education includes Doctor of Philosophy - PhD from Stanford University, and Master of Science - MSc from University of Oxford.Is Maximilian Hell's contact information up to date?
Yes. Maximilian Hell's SignalHire profile was last updated on 3 May 2026, reflecting their current position as Staff Data Scientist at Code for America in Oakland, California, United States.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
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