Alexis Weill

Head Of Data Science

San Francisco, California, United States
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Summary

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Rockstar
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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.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor’s Degree Industrial and Systems Engineering, Bachelor’s Degree Industrial and Systems Engineering at University of Florida
bookMaster’s Degree Management Science and Engineering, Master’s Degree Management Science and Engineering at Stanford University
languagesEnglish, French, Spanish
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Github Skills (10)

code-behind8
database6
sql5
webassembly5
browser5
typescript5
javascript5
analytics4
duckdb3
olap2

Programming languages (2)

C++JavaScript

Github contributions (5)

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The home of our open-source projects.
Contributions:11 pushes, 1 branch in 1 year 1 month
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alexisweill/alamode

Aug 2024 - Aug 2024

A community-maintained library of visualizations for Mode reports
Contributions:1 push in 1 day
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