Data Scientist II, Prime Air
Core
Designing and analyzing experiments, building propensity and behavioral models, forecasting demand, and applying causal methods to understand customer experience and operational metrics for Amazon's drone-delivery service.
Role type
Senior IC data scientist (experimental design & causal inference)
Builds
Propensity models, behavioral models, demand forecasts, and experimental frameworks for drone delivery operations
Domain
Logistics / Drone delivery / E-commerce
Deliverable
production ML models | dashboards & analysis
Required skills
A/B testing design and analysis, causal inference methods (DiD, IV, DAGs), statistical modeling, SQL, Hadoop/Hive, Python, root cause analysis, large-scale data querying
Preferred skills
Generative AI techniques, knowledge graph reasoning, experimental plan design, large tech company experience
Technologies
Python, SQL, Hadoop, Hive, Graph databases
Responsibilities
Design and execute data science solutions using machine learning and statistical modeling; Acquire, transform, and validate large operational and customer datasets; Design, run, and analyze experiments to measure impact; Deep-dive customer-experience issues to identify root causes; Communicate complex analyses to technical and non-technical audiences; Own workstream end-to-end from problem definition to delivery
Seniority
Senior, hands-on IC
