Andrew R.

About Andrew R.

Staff Data Scientist at Meta building large-scale machine learning and decision systems that operate across billions of events per day. I design and deploy models used for ads ranking, user targeting, and sales optimization in production environments where accuracy, latency, and long-term impact all matter.My work spans predictive modeling, causal inference, and online experimentation — from training and evaluating models in PyTorch to deploying them into live ranking and recommendation systems. I’ve owned end-to-end pipelines that transform raw behavioral and sales telemetry into decisions that directly drive revenue, growth, and user experience.I’ve led initiatives across ads, sales, and marketplace surfaces including large-scale ranking models, sales-conversation extraction and modeling, and recommendation systems used by thousands of sales and operations teams. These systems rely on distributed data platforms (Presto, Spark, Hive), production ML infrastructure, and rigorous offline and online evaluation frameworks.Previously, I led data science and machine learning teams at Wayfair, building marketplace, pricing, and product-ranking models used across dozens of product categories. Earlier, I worked on retail forecasting and promotion optimization at Walmart.I focus on building ML systems that are robust, interpretable, and aligned with long-term outcomes — not just one-off models — and enjoy problems involving user behavior, economic systems, and decision-making under uncertainty.

Experience

1. Staff Data Scientist

   Meta

   Jul 2024 — Present · Austin, TX, US

Education

• Brigham Young University

  Bachelor of Arts (B.A.), Economics

  2009 — 2015

• Carnegie Mellon University - Heinz College of Information Systems and Public Policy

  Master's degree, Management Information Systems, Business Intelligence and Data Analytics

  2017 — 2018