Autodesk Inc.
Autodesk Inc.Verified Source

Principal Data Scientist at Autodesk

Onsite · San Francisco, California
Posted July 29, 2026
payroll

Overview

Lead predictive modeling and AI system evaluation for Autodesk's agentic product platform. Design frameworks to assess AI quality and drive user outcomes. Partner with product and engineering teams to build measurement tools and infrastructure. Shape the future of work through data-driven innovation.

What You'll Do11

  • 1Design and implement predictive models to analyze user behavior across multi-agent workflows
  • 2Define data instrumentation and observability standards for agent-based systems
  • 3Develop frameworks for optimizing non-deterministic user experiences powered by AI agents
  • 4Collaborate with product and engineering teams to integrate predictive intelligence into orchestration systems
  • 5Create analytical models and reporting frameworks for business intelligence and forecasting
  • 6Guide experimentation strategies including A/B testing and causal inference for agent performance
  • 7Provide technical leadership on data architecture and system scalability for AI/ML platforms
  • 8Translate early-stage product questions into structured analytical programs with measurable impact
  • 9Establish metrics and measurement frameworks for novel product spaces involving AI/ML
  • 10Design instrumentation and event schemas for complex stateful systems
  • 11Bridge research and production with practical solutions for nondeterministic AI outputs

Requirements10

  • 18+ years in data science or applied ML with focus on product analytics or user behavior modeling
  • 2Deep expertise in predictive modeling including classification survival analysis sequence models or LTV/propensity frameworks
  • 3Fluency in designing instrumentation and event schemas for stateful systems
  • 4Proven experience with AI/ML powered products featuring nondeterministic outputs
  • 5Familiarity with LLMs embedding models vector databases and RAG systems in production environments
  • 6Strong understanding of 2D/3D geometric data representations and data modeling techniques
  • 7Ability to translate theory into practical solutions and prototypes
  • 8Demonstrated collaboration across teams with autonomous execution capabilities
  • 9Exceptional technical writing and communication skills for documentation and stakeholder influence
  • 10Commitment to Autodesk's inclusive culture and values

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationSan Francisco, California

Required Skills

Predictive ModelingClassificationSurvival AnalysisSequence ModelsLTV/Propensity FrameworksInstrumentation DesignTelemetryObservability StandardsMetrics DefinitionAI/ML Product ExperienceLLMsEmbedding ModelsVector DatabasesRAG Systems2D/3D Geometric Data Representation
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