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Staff Data Scientist, Ads

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The role

Own end-to-end problem spaces in ads, focusing on funnel acceleration and advertiser LTV.
Develop and deploy predictive models, optimization frameworks, and decision-support systems that drive advertiser value.
Define core metrics and robust methodologies to quantify the impact of product and modeling changes on ROI.
Lead cross-functional collaboration with engineering, product, and sales to translate insights into action and elevate modeling standards.
Drive innovation in ad systems using causal inference, economic analysis, and large-scale data processing.
Operate in a fast-paced, ambiguous environment with high autonomy and opportunities to shape strategic direction.

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