Chris Goldammer's toolbox

Data scientist, builder, founder.

Staff Data Scientist at Airbnb for six years, now building full-time. My focus is urban data — zoning, real estate, and how cities change over time, especially in New York City.

I'm available for consulting on data science, causal inference, and urban analytics. Building CityTracker.ai has given me deep knowledge of NYC construction data — I was the first to identify the ADU rollout, and I track an unparalleled dataset of townhouse conversions and real-time construction progress. Happy to talk to journalists or researchers working on related topics.

Get in touch

More about me

My work experience

From 2018 to 2024, I worked at Airbnb as a staff data scientist. Before that, I've worked as a freelance consultant, a data scientist, and as a consultant.

As a data scientist, I have deep expertise in both experimental design, a wide range of causal inference techniques, and machine learning. At Airbnb, I was the lead data scientist for cancellations policies. Both at this role and previously, I have led analysis end-to-end, starting from initial analysis, to deployment in production algorithms, and long-term iteration.

Programming Expertise

If you want to check that I can actually code, you can find my recent projects on Github.

I have deployed projects using a wide range of languages and tools, including Python, R, SQL, Javascript, Haskell, Scala, and more.

Background

I studied economics both for my undergrad in Germany and for my PhD at the University of Chicago. I enjoy teasing causal claims out of observational data.

Building Now

Citytracker.ai

Want to know which architects specialize in townhouse combos? Which buildings just filed for an ADU? CityTracker turns NYC's permits, filings, and sales into answers — with a depth no other platform has.

See what's changed