Senior Applied Scientist, Advertiser Demand Intelligence

Lead the AI and machine learning strategy for Demand Intelligence, building solutions that transform complex marketplace and advertiser signals into actionable recommendations, insights, and decision support. Drive innovation in predictive intelligence, including forecasting, opportunity discovery, anomaly detection, and automated insight generation that help customers achieve better business outcomes. Build and advance Generative AI and agentic experiences that help stakeholders move from data to action more effectively. Partner across engineering, product, and business teams to translate customer needs into scalable AI-powered products and ensure successful delivery of high-impact solutions. Raise the technical bar by providing scientific leadership, mentoring engineers and scientists, and championing best practices in experimentation, machine learning, and responsible AI. Establish rigorous evaluation frameworks to ensure recommendations and insights are accurate, trustworthy, measurable, and aligned with customer and business goals. Shape the future of Demand Intelligence by identifying emerging AI technologies and turning cutting-edge research into differentiated capabilities that drive competitive advantage. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models. Proven programming and data skills, including proficiency in Python and SQL, with experience working with large-scale structured and unstructured datasets. Proven analytical and problem-solving skills, with the ability to work with messy data, identify trends or anomalies, and rigorously evaluate model performance. Effective communication skills for presenting complex analysis in a clear manner and working collaboratively on a multidisciplinary team. Experience building machine learning systems that generate actionable recommendations, or optimization guidance from large-scale business or marketplace signals. Advanced Analytics: Expertise in predictive modeling, time-series forecasting, anomaly detection, or business diagnostics that drive measurable customer or business outcomes. Generative AI & Agentic Systems: Experience applying LLMs, retrieval-augmented generation (RAG), AI agents, or reasoning systems to automate analysis, generate insights, explain recommendations, or support complex decision-making workflows. Large-Scale Intelligence Platforms: Experience developing and deploying machine learning solutions on cloud-scale data platforms, including distributed data processing, model orchestration, experimentation, and production AI systems.