Laszlo Korsos
Head of Data Science at Attentive
Laszlo Korsos
Head of Data Science at Attentive
San Francisco, California
Overview
Work Experience
Head of Data Science
2024 - Current
Attentive drives 11 figures of annual revenue for online brands. 🚀 You've almost certainly interacted with us, but haven't known it. 😎 We're building big things in data and AI. Come join us! 📈
Advisor
2020
Leveraging artificial intelligence in upstream energy
Co-Founder, President
2023 - 2023
Co-Founder, CEO
2019 - 2023
HeadRace is the marketplace for recruiting services. We make it easier for recruiters to start their own boutiques and for employers to find the best recruiters at the best prices - Bootstrapped as a side-hustle to $1M in revenue. - Raised $6M from Greylock, Susa Ventures, and Breyer Capital
SVP of Analytics
2021 - 2021
Built and led data analytics for the entire business - Product, Engineering, Performance Marketing, Brand Marketing, and Sales.
Senior Director, Head of Marketplace & Pricing Data Science
2019 - 2019
Hired and led the team responsible for Flexport's pricing and optimization ML Eng technology.
Co-Founder of Marketplace Org & Founder of Marketplace Data Science
2014 - 2017
Founded, built, and led the teams behind much of Uber's core algo and marketplace tech including Surge Pricing, matching optimization, Uber Pool (pricing, matching), Uber Eats (pricing, matching), forecasting, and outlier/anomaly detection. - Uber's first data scientist in finance - Promoted within 2 months of being hired to start/lead the company’s central applied science team - economics, statistics, operations research, ML in the core products - Developed the first UberPool matching/routing algorithms - Ran the algorithmic development for Surge/Dynamic Pricing - Built Uber's first demand curve models - Built the first anomaly detection algorithms built into the firm's data centers - Hired all the Product & Data leadership (Director+) - Hired almost every Senior+ data scientist and product manager in the Marketplace Org - Recruited top professors from Columbia, Yale, Cornell, and UCLA to join Uber full-time and co-develop our quantitative and data technology
Associate - Fixed Income Sales & Trading
2013 - 2014
First full-time job - Fixed Income Deal Structuring & Trading - Structured interest rate derivative deals for financial institutions and corporate clients - Authored Goldman’s reports on US Treasury Futures, Short-Term Interest Rates, Assets & Liabilities of Commercial Banks, US Treasury Auction Allotments, and Canadian Interest Rates - Implemented the firm’s advanced Bayesian statistical learning methods used for dynamically changing investment positioning
Lecturer/Consultant
2011 - 2012
Taught econometrics, statistics, and machine learning classes to traders, portfolio managers, and new-hires while in grad school
Summer Quant Analyst
2009 - 2010
Hyde Park Portfolio Team (Quant investment management) - Rebuilt the firm's entire $1B quant investing engine while in grad school - Built the firm’s first super-computer hardware (ranked in the Top 500 most powerful supercomputers at the time)
Summer Analyst
2007 - 2007
Corporate Advisory (IB/M&A) Team - Special Situations/Structuring - Built the financing models for the now ubiquitous digital & 3D cinema equipment in AMC, Cinemark, and Regal Cinemas