Autodesk
PrincipalDataScientist
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“Principal Data Scientist at Autodesk. Skills: Data science, Applied ML, Predictive modeling, AI systems. Design and implement predictive models. Analyze and anticipate user behavior”
What You'll Achieve.
Achieve meaningful outcomes faster; Predict success for users; Predict success for product; Build measurement tools; Build intelligence tools; Product needs to learn; Product needs to adapt; Product needs to grow
Industry & Context.
Translate theoretical concepts into practical solutions
What They're Looking For.
Must Have
8+ years data science or applied ML, Product analytics or user behavior modeling, Predictive modeling experience, Classification, survival analysis, sequence models, or LTV/propensity frameworks, Designing instrumentation and event schemas, Define metrics and measurement frameworks, Experience with AI/ML-powered products, Experience with LLMs and related technologies, Experience with embedding models, Experience with vector databases, Experience with Retrieval-Augmented Generation (RAG) systems, Data modeling, system architectures, and processing techniques, 2D/3D geometric data representations, Translate theoretical concepts into practical solutions, Prototype implementations, Work autonomously, Collaborate effectively across teams, Technical writing skills, Communication skills
Nice to Have
PhD preferred, Cloud platform certs
What You'll Do.
Design and implement predictive models
Analyze and anticipate user behavior
Define and establish data instrumentation
Define telemetry and observability standards
Develop frameworks for analyzing user experiences
Optimize non-deterministic user experiences
Collaborate with product and engineering teams
Integrate predictive intelligence into agent orchestration
Create analytical models
Generate business intelligence
Generate performance insights
Guide experimentation strategies
Provide technical leadership
Make recommendations on data architecture
Make recommendations on model selection
Make recommendations on system scalability
Translate ambiguous product questions
Structure analytical programs
Define clear hypotheses
Define business impact
How You'll Work.
Team & Collaboration
Partnering with product teams; Partnering with engineering teams; Partnering with platform teams; Collaborating across teams
Communication Scope
Technical writing; Presentations; Influencing
Full Job Description
**Job Requisition ID #** 26WD98421 **Position** **Overview** At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster. The Principal Data Scientist will work within an Engineering team focused on building frameworks to evaluate AI Systems. This is a critical data science role for our agentic product platform—a next-generation framework that combines domain-specific AI agents into a unified harness enabling complex, multi-step, personalized work across product surfaces. As Principal Data Scientist, you will help build fundamental evaluation techniques, create algorithms to assess quality scores, as well as define and predict what success for users and the product looks like. You'll work at the intersection of predictive modeling, behavioral analytics, and AI system design — partnering closely with product, engineering, and platform teams to build the measurement and intelligence tools and where appropriate, infrastructure, that this product needs to learn, adapt, and grow. To deliver our vision, we need exceptional contributors and leaders who are curious, adaptable, customer-focused, and excited to help shape the future of work at Autodesk. **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 predictiv
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