Applied Scientist , Sponsored Products
Core
Drive end-to-end machine learning projects to deliver relevant ads on the Amazon search page, enhancing the shopping experience for hundreds of millions of customers worldwide.
Role type
Applied Scientist (Supply Science)
Builds
Production ML models, automated feature generation processes, and A/B experiments for ad supply optimization.
Domain
E-commerce advertising, machine learning, econometrics, and optimization.
Deliverable
production ML models
Required skills
Machine learning, neural deep learning methods, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, statistical analysis, A/B experiment design, Python, Java, C++
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Technologies
Python, Java, C++, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Build efficient and automated processes for large-scale feature generation, model training, validation, and serving; Design and launch online experiments; Conduct statistical analysis of experimental results; Implement ML models to predict customer response; Collaborate with engineers to productionize models.
Seniority
Mid-Senior level (3+ years experience)