Sr. Applied Scientist, Private Brands Intelligence - SCIT Science
Core
Building scalable optimization solutions and ML models to derive actionable insights about the complex economy of Amazon's retail business and drive strategic business decisions.
Role type
Sr. Applied Scientist (Operations Research & Machine Learning)
Builds
Highly scalable optimization solutions and statistical models/algorithms for the consumer economy
Domain
Retail / Operations Research / Machine Learning
Deliverable
production ML models
Required skills
Operations Research, Machine Learning, Causal Inference, Econometrics, Java, C++, Python, distributed systems programming
Preferred skills
Reinforcement Learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems, generative AI tools
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Translate business and functional requirements into concrete deliverables, design and develop scalable optimization solutions, deploy ML models, decompose complex problems into straightforward solutions
Seniority
Senior, hands-on IC
