Senior Applied Scientist, Amazon Global Data Center Ops Central Insight and Analytics Team
Core
Design, build, and deploy ML/AI models for a decision intelligence platform using causal inference, time-series forecasting, anomaly detection, and LLM-based reasoning to solve operational problems.
Role type
Senior Applied Scientist (Decision Intelligence & Operations)
Builds
Decision intelligence platform, causal models, forecasting systems, LLM reasoning engines, and anomaly detection tools
Domain
Cloud infrastructure operations, data center management, causal inference, and generative AI
Deliverable
production ML models
Required skills
causal inference, time-series forecasting, anomaly detection, LLM integration, Python, PyTorch, TensorFlow, experimental design, production deployment
Preferred skills
dose-response modeling, Bayesian methods, operational data at scale, supply chain optimization, decision support systems
Technologies
PyTorch, TensorFlow, scikit-learn, statsmodels, RAG systems
Responsibilities
Build models for root cause analysis and outcome attribution; design LLM prompting architectures and evaluation frameworks; take models from research to production deployment; design A/B tests to measure business impact
Seniority
Senior, hands-on IC