Senior Principal Data Scientist, AEC

Autodesk

Senior Principal Data Scientist at Autodesk shaping experiences for AI-powered innovation. Collaborating across teams to build predictive models and analytical frameworks for user behaviors.

Posted 6/19/2026full-timeRemote • California, New York, Washington • 🇺🇸 United StatesSenior💰 $159,000 - $285,560 per yearWebsite

About the role

Key responsibilities & impact

Design and implement predictive models to analyze and anticipate user behavior
Define and establish data instrumentation, telemetry, and observability standards
Develop frameworks and prototypes for analyzing and optimizing user experiences driven by AI agents
Collaborate with product and engineering teams
Create analytical models and reporting frameworks
Guide experimentation strategies, including A/B testing
Provide technical leadership and recommendations on data architecture and system scalability
Translate ambiguous product questions into structured analytical programs.

Requirements

What you’ll need

10+ years in data science or applied ML
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)
familiarity with modern AI evaluation approaches for AI-powered and agentic systems
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
strong communicator who can translate modeling work into product and business language at the executive level.

Benefits

Comp & perks

annual cash bonuses
commissions for sales roles
stock grants
comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive modelingclassificationsurvival analysissequence modelsLTV frameworkspropensity frameworksdata instrumentationevent schemasA/B testingdata architecture

Soft Skills

technical leadershipcommunicationcollaborationtranslating complex conceptsguiding experimentation strategiesconducting applied researchdefining metricsanalytical thinkinguser behavior modelingexecutive communication