Senior Data Scientist, AWS Analytics Engineering
Core
Build ML-driven product analytics and agentic analytics systems for AWS services to influence leadership decisions and drive product/revenue growth.
Role type
Senior IC data scientist (product analytics & agentic systems)
Builds
ML-driven proactive product analytics and agentic knowledge coverage mechanisms for AWS services
Domain
Cloud computing, AI/ML, product growth analytics
Deliverable
production ML models
Required skills
statistical modeling, causal inference, econometrics, forecasting, SQL, Python, R, SAS, Matlab, multinomial logistic regression
Preferred skills
data visualization (QuickSight, Tableau, R Shiny), data pipeline management, team leadership and mentorship
Technologies
AWS QuickSight, Tableau, R Shiny, Python, SQL, R, SAS, Matlab
Responsibilities
Set technical direction for ML-driven product analytics; deliver proactive analytics at scale; define knowledge organization best practices; build agentic knowledge coverage mechanisms; drive cross-service insights to influence GMs/VPs; partner with other science organizations; scale science and analytics across AWS services
Seniority
Senior, hands-on IC with mentorship