Igor Geyn, PhD
Applied Data Scientist
Causal inference · Econometrics · Machine learning
Hello! My name is Igor. I live and work in the San Francisco Bay Area.
I'm a data scientist and quantitative researcher specializing in causal inference using large data sets, advanced econometric methods, complicated data pipelines, and machine learning. I defended my dissertation and received my PhD from UCLA in February 2026.
I am currently on the (non-academic) job market exploring ways to make an impact using my skills as a researcher, analyst, and experienced business professional. If you are interested in connecting, I am available via LinkedIn, email, and Twitter/X.
Job Market Interests
I'm broadly interested in quant research and data science opportunities on the product and policy/regulatory sides of for-profit/industry organizations, including in technology but also other domains. (I'm interpreting "product" very broadly: this can include services, consulting, internal strategy, etc. as outputs.) I've previously worked in government contracting/consulting, marketing and market research, the energy and utility space, ride share/micromobility, and health.
Some job titles I've used in the past: data scientist, senior data scientist, researcher, applied researcher, data analyst, senior data analyst, and applied data scientist.