Design, build, and maintain optimization frameworks that improve bidding efficiency, audience targeting, and budget allocation across media platforms. * Develop experimentation and incrementality testing pipelines to evaluate media effectiveness and guide investment decisions. * Build ROI and performance modeling systems to quantify the impact of campaign strategies and improve return on ad spend. * Collaborate with Media, Data Science, and Engineering teams to operationalize advanced optimization algorithms and automated testing workflows. * Integrate machine learning and statistical models into activation workflows to improve media decisioning and measurement precision. * Implement observability and feedback loops that continuously track optimization performance, learning rates, and ROI improvements. * Partner with publisher and data platform teams (Meta, Google, LiveRamp, etc.) to leverage APIs and platform signals for automated campaign optimization. * Continuously enhance testing velocity and scale by automating experiment setup, execution, and reporting. * Document frameworks and best practices to standardize optimization workflows across global campaigns and platforms. 5+ years of experience in AdTech, MarTech, data engineering, or optimization-focused software development. * Proven experience in campaign optimization, bidding systems, or experimentation frameworks within digital advertising ecosystems. * Strong programming skills in Python, SQL, and statistical or ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). * Deep understanding of incrementality measurement, attribution modeling, and ROI analysis. * Familiarity with cloud environments (GCP, Azure, or AWS) and large-scale data systems (BigQuery, Snowflake, Databricks). * Strong analytical mindset with the ability to translate media performance and modeling outcomes into actionable insights. * Excellent communication and collaboration skills, with a proven track record of partnering across technical, media, and data science teams. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *
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