Senior Principal Data Scientist, AEC
Job 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