tal·roded

About

Tal Roded

Data scientist, economic researcher, and NYC policy writer based in New York City.

I'm a data scientist and economic researcher whose work sits at the intersection of rigorous quantitative analysis and clear public communication, turning large datasets and economic models into findings that non-specialist audiences can act on. My tools are Python, R, SQL, and Stata; my questions tend to involve labor markets, AI, urban policy, and public finance.

My day job is at LinkedIn, where I build data science systems at platform scale. Alongside that, I hold an affiliate researcher position at MIT FutureTech, where I examine AI progress and its economic implications, benchmarking generative AI forecasts against prior technology cycles and analyzing the training data trends that drive capability gains.

I'm a part-time MPA student at NYU Wagner, focused on policy analysis. I bring the same quantitative lens to the classroom that I apply to my research and writing.

Before LinkedIn, I was a data scientist at Starbucks, supporting pricing recommendations and product analytics across international markets. Before that I was a Senior Analyst at Accenture Research, producing quantitative research on generative AI's labor market impact for enterprise and policy audiences. Earlier, as a Research Associate at the Federal Reserve Bank of Philadelphia, I contributed to peer-reviewed work on macroeconomics, housing markets, and employment.

I studied Joint Math-Economics at UC San Diego (B.S., 2019), graduating with Provost's Honors. There I co-authored research on WWII-era unemployment dynamics and published work on income-education gradients in developing nations.

My policy writing lives at NYCuriosity, a Substack where I apply the same analytical rigor to NYC governance: transit funding gaps, street safety mandates, Community Board votes, and parking politics. I'm an appointed member of Manhattan Community Board 3, serving on the Parks Committee, which puts me in the room for land use, street design, and budget decisions in the Lower East Side and East Village.

I've also contributed to Block Party's civic tech platform, building the community board resolutions knowledge base that makes CB records searchable citywide. I'm a member of Technologists for the Public Good.

ANYC Transit & Streets 1Urban Policy 4Data Science BLabor & Economics 7AI & Technology

View my resume →

Data Scientist
2025 – present
LinkedIn
Building data science systems at platform scale, statistical modeling, experimentation, and data infrastructure serving hundreds of millions of users.
Affiliate Researcher
2023 – present
MIT FutureTech
Quantitative research on AI progress and economic implications. Published analyses benchmarking GenAI productivity forecasts against prior technology cycles; co-authored work on training data and AI capability gains.
Community Board Member, Parks Committee
2025 – present
Manhattan Community Board 3
Appointed member covering the Lower East Side and East Village. Participates in land use, street design, parks, and local budget decisions. Informs NYCuriosity reporting and Block Party civic tech work.
MPA Student (part-time)
Current
NYU Wagner School of Public Service
Master of Public Administration, focused on policy analysis. Applying quantitative methods to public sector problems alongside professional work.
Data Scientist
2023 – 2025
Starbucks
Data science supporting international markets: pricing recommendations, user testing design, and product innovation analytics. Applied Python and SQL to large-scale behavioral and transactional datasets.
Data Science Senior Analyst
2022 – 2023
Accenture Research
Quantitative research on generative AI's labor market impact. Translated complex economic modeling into findings for enterprise and policy audiences. PyData Impact Scholar (2022).
Research Associate
2019 – 2022
Federal Reserve Bank of Philadelphia
Peer-reviewed research in macroeconomics and labor economics using Stata, panel data, regression analysis, difference-in-differences. Published a COVID reopening risk brief; co-authored NJ housing market analysis.
B.S. Joint Math-Economics
2019
UC San Diego
Graduated with Provost's Honors. Co-authored undergraduate research on WWII unemployment dynamics and income-education gradients in developing nations.