Senior Principal Data Scientist, AEC

🕒 June 18

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $159k - $285.6k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• 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

• 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

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