Senior Data Scientist
Core
Analyze large-scale revenue, hardware, and capacity datasets to identify pricing and yield opportunities, building causal inference models and decision-relevant metrics to drive business alignment.
Role type
Senior IC data scientist (pricing/yield optimization)
Builds
Causal inference models, decision-relevant metrics, dashboards, and actionable recommendations
Domain
Cloud economics, revenue management, and capacity optimization
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, KQL, distributed data processing, causal inference (difference-in-differences, synthetic control), Azure pricing knowledge, cloud economics, statistical techniques
Preferred skills
Yield or revenue management, pricing optimization, cloud resource allocation
Technologies
Python, SQL, KQL, Azure
Responsibilities
Write efficient code to prepare and analyze large-scale datasets; Partner with business planning, engineering, product, and finance teams to define objectives and align strategies; Influence decisions through evidence and communicate trade-offs; Develop metrics and narratives that translate analyses into recommendations; Provide mentorship through code reviews and sharing best practices
Seniority
Senior, hands-on IC with mentorship responsibilities