Summary
Emma Pendl-robinson is a Senior Data Scientist at Mathematica with six years of experience applying quantitative and qualitative methods to socioeconomic research and policy design. She has progressed through analytic roles at Mathematica from statistical assistant to senior data scientist, blending rigorous econometrics, agent-based modeling, and R-driven data visualization to inform equitable public policy. Her academic background—B.S. in Political Science and Economics and a Harvard Extension graduate certificate in Data Science—underpins a research-first approach to applied analytics. Emma has taught graduate econometrics and causal inference, an experience that sharpens her ability to communicate complex methods to diverse audiences. She pairs hands-on coding and statistical rigor with a clear commitment to social impact, having worked on school assignment algorithms and housing equity initiatives. An understated strength is her habit of turning policy questions into reproducible, open datasets and tools for public use.
6 years of coding experience
4 years of employment as a software developer
Study Abroad, Political Science and Government, 3.8/4.0, Study Abroad, Political Science and Government, 3.8/4.0 at Sciences Po
Bachelors of Science, Political Science and Economics Major, 3.75/4.0, Bachelors of Science, Political Science and Economics Major, 3.75/4.0 at Northeastern University
Graduate Certificate, Data Science, 3.9/4.0, Graduate Certificate, Data Science, 3.9/4.0 at Harvard Extension School