Principal Data Scientist

Responsibilities

• Design and implement predictive models to analyze user behavior, intent, and outcomes across multi-agent workflows
• Establish data instrumentation, telemetry, and observability standards for agent-based systems
• Develop frameworks for analyzing and optimizing non-deterministic user experiences driven by AI agents
• Collaborate with product and engineering teams to integrate predictive intelligence into orchestration systems
• Create analytical models and reporting frameworks for business intelligence and performance forecasting
• Guide experimentation strategies, including A/B testing and causal inference for agent performance
• Provide technical leadership on data architecture, model selection, and system scalability

Requirements

• 8+ years in data science or applied ML, with significant experience in product analytics or user behavior modeling
• Deep experience with predictive modeling, including classification, survival analysis, or sequence models
• Experience with LLMs and related technologies, including embedding models, vector databases, and RAG systems
• Strong knowledge of data modeling, system architectures, and processing techniques
• Proven ability to define metrics and measurement frameworks for new product spaces
• Experience working on AI/ML-powered products with non-deterministic outputs
• Excellent technical writing and communication skills for cross-functional influence

About the Company

Autodesk helps customers design and make anything, from the greenest buildings to the smartest factories. We empower innovators to turn their ideas into reality, transforming how things are made and what can be made.