Senior Data Scientist III, Community Intelligence Science & Engineering
Core
Design and deploy production ML forecasting systems and AI-powered analytics platforms to analyze Amazon's impact on local communities and embed insights into operational models.
Role type
Senior IC data scientist (community intelligence & causal inference)
Builds
Production ML models, AI analytics platforms, automated causal discovery systems, NLP/GenAI applications
Domain
Community operations, computational social science, causal inference
Deliverable
production ML models
Required skills
SQL, Python, statistical modeling (multinomial logistic regression), AWS tech stack (Redshift, S3, EC2, Glue), knowledge graphs, LLMs, document understanding, NLP, GenAI, AWS SageMaker/EMR/Lambda/Kinesis/Glue
Preferred skills
Data pipeline management, team leadership/mentoring, technical documentation, AI-assisted development tools, top-tier conference publications
Technologies
AWS (Redshift, S3, EC2, Glue, SageMaker, EMR, Lambda, Kinesis), Knowledge Graphs, LLMs, NLP frameworks
Responsibilities
Design and deploy production ML forecasting systems with extended prediction horizons; Build and scale AI-powered analytics platforms processing unstructured data; Collaborate to integrate analytical insights into operational models; Develop automated causal discovery systems leveraging knowledge graphs and LLMs; Develop NLP and GenAI applications for event detection and sentiment analysis; Mentor junior scientists and contribute to research culture; Author scientific publications and technical documents
Seniority
Senior, hands-on IC with mentorship responsibilities