A Staff Data Scientist on Reddit's Ads Data Science team owns a high-impact problem space spanning measurement, identity resolution, and signal quality — designing probabilistic identity models, lift methodologies, and signal strategies that improve advertiser bidding efficiency and ROAS.
Staff Data Scientist leading ads measurement, identity resolution, and signal quality for Reddit's advertising platform, designing probabilistic models, lift methodologies, and evaluation frameworks using Python/R, SQL, and ML.
Senior Staff Data Scientist leading relevance measurement and evaluation for Reddit's Consumer team, partnering with Feeds and Search ML teams to design metrics, experiments, and analytical frameworks for ranking and recommendation systems at scale using SQL, Python/R, and causal inference.
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.
Staff Data Scientist on Reddit's Ads Data Science team, focusing on ads measurement, identity resolution, lift experimentation, and predictive modeling to maximize advertiser value. Uses Python/R, SQL, and advanced statistical methods to design identity graphs, lift methodologies, and signal quality frameworks.
Staff Data Scientist on Reddit's Ads Data Science team, designing probabilistic identity models, advancing lift experimentation, and optimizing signal quality for ad measurement and predictive performance. Requires advanced degree, 6-10+ years experience, deep ads expertise, and proficiency in Python/R, SQL, ML, and causal inference.
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