Applied Scientist, NA Stores Expansion
Core
Building and deploying AI/ML models and LLM-powered systems to optimize supply chain, customer engagement, and cultural relevance for North America's retail business.
Role type
Applied Scientist (AI/ML & Operations Research)
Builds
Science-backed systems influencing vendor negotiations, forecasting, buying, product discovery, and inventory management.
Domain
Retail / Supply Chain Optimization / Operations Research
Deliverable
production ML models
Required skills
ML model development, optimization engines, similarity search, causal inference, Java, C++, Python, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred skills
Unix/Linux, professional software development, generative AI tools and prompting
Technologies
AWS SageMaker, Bedrock, FAISS, Andes
Responsibilities
Develop workflows combining ML models with optimization engines and human-in-the-loop capabilities; Build scalable data and inference pipelines to process 100M+ ASINs; Design and execute rigorous experimentation frameworks including weblabs and causal inference methods; Collaborate cross-functionally to translate ambiguous business problems into well-scoped science solutions.
Seniority
Mid-Senior, hands-on IC
