• Architect and implement machine learning models for campaign optimization, focusing on bid strategies, budget allocation, and pacing algorithms within the DSP environment for programmatic campaigns with focus on CTV • Lead the design of our model orchestration layer to solve complex multi-objective optimization challenges. Working at the intersection of Product and Engineering, you will ensure our model suite operates in sync to maximize performance across conflicting business KPIs • Drive data and ML strategy for audience segmentation and targeting capabilities, utilizing first- and third-party data sources to enhance product performance and advertiser outcomes. • Collaborate closely with Product and Engineering teams to integrate new models and data pipelines into production systems, ensuring scalability and performance. • Conduct deep-dive analytics to uncover strategic insights into campaign performance, market trends, and audience behavior, translating findings into actionable product recommendations. • Serve as a subject matter expert in ad-tech data science for internal and external stakeholders, presenting complex methodologies and results clearly. • Mentor junior data scientists and contribute to the team's culture of rigorous experimentation, statistical excellence, and innovative problem-solving.