Senior Applied Scientist, Sales Insights Analytics and Data Science (SIADS)
Core
Build GenAI agents, knowledge graphs, and recommendation systems to help AWS Sales grow and answer sales questions.
Role type
Senior Applied Scientist (GenAI/ML)
Builds
GenAI agents, knowledge graphs, recommendation systems, synthetic controls, account prioritization models
Domain
Cloud infrastructure sales analytics and GenAI
Deliverable
production ML models
Required skills
advanced quantitative methods, machine learning, GenAI, knowledge graphs, recommendation systems, Python, PySpark, SQL, technical communication, stakeholder partnership
Preferred skills
financial modeling, KPI analysis, patents or publications, LLMs and agentic systems, mentoring scientists
Technologies
Python, PySpark, SQL, GenAI frameworks
Responsibilities
Own full lifecycle of complex science problems from framing to deployment, set technical direction on ambiguous problems, partner with business stakeholders to scope science and translate results, raise scientific bar via design reviews and mentorship, communicate methods and results to technical and non-technical audiences
Seniority
Senior, hands-on IC with technical leadership