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Andrew Pascoe

VP, Data Science Engineering at NextRoll

Building high-performing ML engineering teams that operationalize data science at scale within real-time bidding and programmatic advertising infrastructure.

OperatorSan Francisco, California, United States12+ years in industry

Last updated May 30, 2026 by the ATDb Editorial Team

Bio

Andrew Pascoe is a data infrastructure and machine learning engineering executive who has built his career at the intersection of data science and high-throughput programmatic advertising systems. At NextRoll, he leads the data science engineering organization that underpins both AdRoll and RollWorks, ensuring that sophisticated ML models can operate reliably within the millisecond decision windows demanded by real-time bidding environments. His work spans the full MLOps stack — from model development and experimentation through to production deployment and the infrastructure required to sustain performance at scale. Pascoe is recognized within the AdTech engineering community for his emphasis on team ownership, accountability at the code level, and individualized talent development. He has cultivated a leadership philosophy that pairs agile engineering practices with deliberate investment in both technical depth and leadership growth for individual contributors. This approach has enabled him to build teams capable of bridging the often-difficult gap between data science research and production engineering in live media buying contexts. His career trajectory has been focused squarely on the AdTech ecosystem, where the demands of real-time bidding — low latency, high availability, and massive throughput — create uniquely complex engineering challenges for machine learning deployment. Pascoe's expertise in scaling data pipelines and ML systems in programmatic environments has made him a notable operator within the performance marketing technology space.

Previous Roles

Director, Data Science Engineering

NextRoll

Senior Data Scientist / Engineering Lead

NextRoll (AdRoll)

Expertise
Machine Learning Operations (MLOps)Real-Time Bidding SystemsProgrammatic AdvertisingData Science InfrastructureHigh-Throughput Data PipelinesPerformance Marketing TechnologyTeam Building and Talent DevelopmentModel Deployment at Scale
Education
  • Brown Univeristy
Notable Achievements
  • Scaled the data science engineering organization at NextRoll to support both AdRoll and RollWorks performance marketing platforms
  • Built ML deployment infrastructure capable of operating at the latency and throughput requirements of live programmatic media buying
Speaking Topics
MLOps and machine learning deployment in AdTechBuilding accountable data science engineering teamsReal-time bidding infrastructure and low-latency ML systems
Connections