Autodesk

1 month ago

Senior Principal Data Scientist, AEC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Senior Principal Data Scientist in Autodesk's Experience Foundations leads the design and deployment of predictive models and instrumentation for an agent-based AI platform. You’ll define success metrics, build measurement tools, and collaborate with product and engineering to embed intelligence across multi-agent workflows and user interfaces, shaping the future of AI-powered products at Autodesk.

Location: Irvine, New York, Washington, Toronto, Vancouver

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key 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

Pay and Benefits

Salary: USD 159,000 - 285,560 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•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

Experience:10+ yearsAIMLPredictive modelingProduct analyticsBehavioral analytics

Skills:CommunicationLeadershipProblem-solvingCollaboration

Languages:English

Tech Stack:PythonSQLRA/B testingCausal inferenceLLMs

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

1 month ago

Senior Principal Data Scientist, AEC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Irvine, New York, Washington, Toronto, Vancouver

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key 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

Pay and Benefits

Salary: USD 159,000 - 285,560 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•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

Experience:10+ yearsAIMLPredictive modelingProduct analyticsBehavioral analytics

Skills:CommunicationLeadershipProblem-solvingCollaboration

Languages:English

Tech Stack:PythonSQLRA/B testingCausal inferenceLLMs

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor