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 developmentDesign and productionize measurement modelsApply machine learning and causal inference methodsDrive experimentation and iterative model improvementMentor junior scientists and foster collaborationRequirements:
Three-plus years building machine learning models for business applicationsPhD, or master's degree with six-plus years applied research experienceProgramming experience in Java, C++, Python, or related languagesExperience with neural deep learning and machine learningExperience with modeling tools or distributed systems preferredBring applied science, deep learning, and measurement expertise to Amazon Ads media planning solutions in Toronto.
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📌 Senior Applied Scientist Media Planning (Winnipeg)
🏢 Ml Jobs
📍 Winnipeg