Senior Principal Data Scientist, AEC

Job Requisition ID #

26WD97965

Position Overview

At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the Experience Foundations organization. This is a founding data science role for our agentic product platform - a next-generation framework that combines domain-specific AI agents into a unified harness enabling complex, multi-step, personalized work across product surfaces. As Senior Principal Data Scientist, you will help build the fundamental experiences of this new platform as well as define and predict what success for users and the product look like.

You'll work at the intersection of predictive modeling, behavioral analytics, and AI system design - partnering closely with product, engineering, and platform teams to build the measurement and intelligence tools and where appropriate, infrastructure, that this product needs to learn, adapt, and grow.

To deliver on our vision, we need exceptional contributors and leaders who are curious, adaptable, customer-focused, and excited to help shape the future of work at Autodesk.

Responsibilities

• Design and implement predictive models to analyze and anticipate user behavior, intent, and outcomes across multi-agent workflows
• Define and establish data instrumentation, telemetry, and observability standards for agent-based systems and user interactions
• Develop frameworks and prototypes for analyzing and optimizing non-deterministic user experiences (including user interfaces) driven by AI agents
• Collaborate with product and engineering teams to integrate predictive intelligence into agent orchestration and decision-making systems
• Create analytical models and reporting frameworks to generate business intelligence, forecasting, and performance insights
• Guide experimentation strategies, including A/B testing, causal inference, and evaluation methodologies for agent performance
• Provide technical leadership and recommendations on data architecture, model selection, and system scalability
• Translate ambiguous, early-stage product questions into structured analytical programs with clear hypotheses, methods, and business impact

• 10+ years in data science or applied ML, with significant time in product analytics or user behavior modeling
• Demonstrated ability to conduct applied research, stay at the forefront of emerging AI technologies (LLMs, agentic systems, MCP, tool-use frameworks, RAG architectures), and translate new advances into practical product and measurement innovations
• Familiarity with modern AI evaluation approaches for AI-powered and agentic systems, including benchmark datasets, offline and online evaluation methodologies, LLM-as-a-Judge techniques, human-in-the-loop evaluations, and quality measurement for non-deterministic AI outputs.
• Deep experience with predictive modeling - classification, survival analysis, sequence models, or LTV/propensity frameworks
• Fluency in designing instrumentation and event schemas for complex, stateful systems
• Demonstrated ability to define metrics and measurement frameworks for new product spaces
• Experience working on or adjacent to AI/ML-powered products - especially those with nondeterministic outputs
• Strong communicator who can translate modeling work into product and business language at the executive level