Lead media planning science at Amazon Ads in Toronto, applying machine learning and causal inference to improve advertising measurement quality. Develop privacy-conscious solutions for millions of advertisers. As a Senior Applied Scientist, you will develop media planning models across Reach and Frequency, Budget Planning Optimization, and Recommendations. You will propose, analyze, and productionize models while partnering with engineering, product management, and business teams. Your work will turn scientific challenges into actionable advertiser insights. Key Responsibilities:





Lead scalable media planning model development Design and productionize measurement models Apply machine learning and causal inference methods Drive experimentation and iterative model improvement Mentor junior scientists and foster collaboration Requirements:

Three-plus years building machine learning models for business applications PhD, or master's degree with six-plus years applied research experience Programming experience in Java, C++, Python, or related languages Experience with neural deep learning and machine learning Experience with modeling tools or distributed systems preferred Bring applied science, deep learning, and measurement expertise to Amazon Ads media planning solutions in Toronto.

📌 Senior Applied Scientist Media Planning (Toronto)
🏢 Amazon
📍 Toronto