Leads ML forecasting and scenario modeling for Reddit's ads platform, building models that predict campaign outcomes under different budgets, bids, audiences, and creative performance. Owns modeling direction, production ML systems, and technical leadership across advertiser planning and recommendations.
Builds machine-learning forecasting models that help Reddit advertisers estimate campaign outcomes under different budgets, bids, audiences, and objectives; owns end-to-end production ML pipelines for ads forecasting and scenario modeling.
Staff Data Scientist who leads Reddit's Marketing Intelligence strategy, owning the multi-year measurement roadmap, MMM/MTA models, and incrementality experiments that optimize hundreds of millions in B2B advertiser and B2C user growth spend. Works with Python/R, SQL, and machine learning, mentors scientists, and influences C-suite stakeholders on marketing budget allocation.
Lead Reddit's marketing measurement strategy as a Staff Data Scientist, owning MMM/MTA systems, incrementality testing, and causal inference to optimize B2B and B2C marketing spend using Python/R and SQL.
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