Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Core
Develops and implements machine learning models for strategic media planning, measurement, and optimization to help advertisers understand ad spend value and execute plans.
Role type
Senior Applied Scientist (Media Planning & Measurement)
Builds
Scalable media planning models, measurement insights, and agent-based tools/APIs for Amazon Advertising.
Domain
Advertising technology, media planning, and data science.
Deliverable
production ML models
Required skills
Machine learning, deep learning, causal inference, generative AI, natural language processing, computer vision, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large-scale distributed systems
Technologies
Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, Computer Vision, Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Lead development of media planning models and solutions; collaborate with cross-functional teams to define and implement measurement solutions; drive experimentation and continuous improvement of ML models; mentor junior scientists; engage with the scientific community through presentations and publications.
Seniority
Senior, hands-on IC with mentorship responsibilities
