Angela Ambroz
Staff Data Scientist - Causal Inference
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolAngela Ambroz is a Staff Data Scientist specializing in causal inference with 11+ years of experience bridging economics and data science across academia, international development, and tech. She designs and operationalizes rigorous experimentation and non-experimental causal methods at scale, including Double Machine Learning and large-model production runs (e.g., 1.5B spam predictions). Angela has rebuilt experimentation platforms, authored team playbooks for self-service causal inference, and translated complex statistical bias issues for C-level stakeholders. Her background as a development economist and researcher with J-PAL and field experience in multiple countries informs a pragmatic, policy-minded approach to measurement and impact. She combines strong ML/MLops chops (Python, dbt, Kubernetes, MLflow) with a talent for clear technical communication and teaching. Outside of work she’s a multilingual science-fiction writer with an unusual penchant for holographic principles and right-to-repair advocacy.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS) Economics Mathematics, Bachelor of Science (BS) Economics Mathematics at American UniversityMaster of Philosophy (MPhil) Economics, Master of Philosophy (MPhil) Economics at University of OxfordHarvard Extension School
Github Skills (108)
python10
data-manipulation10
computer-science10
animation10
scikit10
video-processing10
dataframes10
pandas10
statistics10
theory10
paper10
science10
data-science10
video-editing10
editing10
Programming languages (10)
Github contributions (5)
angelaambroz/.dotfiles
May 2018 - Mar 2025
Contributions:203 pushes, 3 branches in 6 years 10 months
angelaambroz/triestin
Apr 2018 - Jul 2018
Contributions:48 commits, 14 pushes in 3 months
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