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.
Current Work
I'm helping several companies and organizations with causal inference and statistical analysis, including as a part-time economist with The Burning Glass Institute, where my work helps answer questions about the future of work, the impact of AI on demand for skills, and various regional workforce programs.
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.
Feel free to explore my LinkedIn profile to learn more.