Senior Principal Data Scientist, AEC

Autodesk

Quick summary

Work type
On-site
Location
CAWABC, CanadaOntario, CanadaNY
Salary
$159,000–$285,560 / yr
Posted
2 days ago
Nearby
78 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $164k
This role $222k
$96k most similar roles pay here $306k

This role pays more than 80% of similar roles. Most pay $126,800–$201,012 — the shaded band above. At the midpoint, this role pays about $222k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 45 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 44 roles with salary data.

Most-posted roles

View all roles at Autodesk

At a glance

TL;DR · Senior Principal Data Scientist, AEC

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The Senior Principal Data Scientist at Autodesk's Experience Foundations team will play a pivotal role in shaping the agentic product platform, a next-generation framework that integrates AI agents to facilitate complex, personalized workflows. This founding data science position involves designing predictive models and behavioral analytics to anticipate user needs and outcomes across multi-agent systems. The incumbent will collaborate closely with cross-functional teams to establish data instrumentation standards, develop frameworks for optimizing non-deterministic experiences, and integrate predictive intelligence into decision-making systems. Key responsibilities include creating analytical models for business insights, guiding experimentation strategies, and providing technical leadership on data architecture and system scalability. Ideal candidates have over a decade of experience in applied machine learning, expertise in modern AI evaluation methodologies, and the ability to translate complex modeling work into actionable product and business strategies at an executive level.

Skills

Python SQL Machine Learning Predictive Modeling AI Systems Data Architecture A/B Testing Causal Inference LLMs RAG Architectures MCP Tool-Use Frameworks Kubernetes Docker CI/CD PostgreSQL Redis Prometheus Grafana

What you'll do

  • Design predictive models to analyze and anticipate user behavior across multi-agent workflows.
  • Define data instrumentation standards for agent-based systems and user interactions.
  • Develop frameworks for analyzing and optimizing AI-driven non-deterministic user experiences.
  • Integrate predictive intelligence into agent orchestration and decision-making systems.
  • Create analytical models and reporting frameworks to generate business insights.

What we're looking for

  • 10+ years experience in data science or applied machine learning with focus on product analytics
  • Expertise in predictive modeling including classification, survival analysis, sequence models, and LTV/propensity frameworks
  • Proficiency in designing instrumentation and event schemas for complex systems
  • Experience defining metrics and measurement frameworks for new AI-powered products
  • Familiarity with modern AI evaluation approaches and methodologies for nondeterministic outputs
  • Strong communication skills to translate technical work into business language at executive level

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