Summary
Alexis Weill is a data leader with a decade of experience building high-impact analytics and machine learning teams across consumer and autonomous-vehicle products. Currently Head of Data at Perplexity and a founding data scientist there, Alexis has led cross-functional efforts at scale to improve affordability and reliability for millions of users at Instacart and to stand up Lyft’s AV data science organization supporting 300+ people. He blends product-focused experimentation with operational rigor, repeatedly delivering measurable business outcomes like revenue uplift and cost reduction. Comfortable in both startup founding roles and large-matrix environments, he has shipped programs spanning payments, SNAP/EBT access, checkout financing, and dependability systems. Trained at Stanford (MS in Management Science & Engineering) and UF, Alexis pairs engineering depth with a systems-oriented view of data platforms and product metrics. A pragmatic builder, he favors small teams that move fast and embed analytics directly into product decision-making.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Industrial and Systems Engineering, Bachelor’s Degree Industrial and Systems Engineering at University of Florida
Master’s Degree Management Science and Engineering, Master’s Degree Management Science and Engineering at Stanford University
English, French, Spanish