[Remote] Senior Principal Data Scientist, AEC

Note: The job is a remote job and is open to candidates in USA. Autodesk is a leading company in design and manufacturing software, committed to helping customers create innovative solutions. They are seeking a Senior Principal Data Scientist to lead the development of predictive models and analytics for their new AI-powered product platform, collaborating with various teams to enhance user experiences and product performance.

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

Skills

• 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

Benefits

• Annual cash bonuses
• Commissions for sales roles
• Stock grants
• A comprehensive benefits package

Company Overview

Company H1B Sponsorship