Principal Data Scientist

Autodesk

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$135,000–$242,000 / yr
Posted
30 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $188k
$102k most similar roles pay here $257k

This role pays more than 69% of similar roles. Most pay $137,743–$202,289 — the shaded band above. At the midpoint, this role pays about $188k versus about $170k 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 17 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 17 roles with salary data.

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View all roles at Autodesk

At a glance

TL;DR · Principal Data Scientist

The Principal Data Scientist joins the Experience Foundations team within an Engineering group focused on building frameworks to evaluate AI systems for a next-generation agentic product platform. This role involves developing fundamental evaluation techniques, creating algorithms for quality scores, and defining success metrics for multi-step, personalized workflows. You will design predictive models to analyze user behavior and intent, establish data instrumentation standards for agent-based systems, and develop prototypes for optimizing non-deterministic experiences. Key technical requirements include expertise in predictive modeling like classification and sequence models, experience with LLMs, vector databases, and Retrieval-Augmented Generation systems, as well as knowledge of 2D/3D geometric data representations. You will collaborate across teams to integrate intelligence into agent orchestration while translating complex product questions into structured analytical programs using A/B testing and causal inference to solve challenges in AI system design.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Design and implement predictive models to analyze user behavior, intent, and outcomes across multi-agent workflows.
  • Establish data instrumentation, telemetry, and observability standards for agent-based systems and user interactions.
  • Develop frameworks and prototypes to analyze and optimize non-deterministic AI-driven user experiences.
  • Integrate predictive intelligence into agent orchestration and decision-making systems in collaboration with engineering teams.
  • Create analytical models and reporting frameworks to generate business intelligence and performance insights.
  • Lead experimentation strategies including A/B testing, causal inference, and evaluation methodologies for agent performance.
  • Provide technical leadership on data architecture, model selection, and system scalability.
  • Translate ambiguous product questions into structured analytical programs with clear hypotheses and measurable impact.

What we're looking for

  • At least 8 years of experience in data science or applied machine learning.
  • Significant experience in product analytics or modeling user behavior.
  • Deep expertise in predictive modeling, including classification, survival analysis, sequence models, or LTV/propensity frameworks.
  • Proficiency in designing instrumentation and event schemas for complex, stateful systems.
  • Experience working with AI/ML products featuring non-deterministic outputs.
  • Experience with LLMs, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) in production settings.
  • Deep understanding of data modeling and system architectures, including 2D/3D geometric data representations.
  • Strong technical writing and communication skills to influence cross-functional teams.

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