UX & Predictive Experience Lead Researcher
Core
Lead a predictive experience capability to increase learning velocity across the digital product organization by combining behavioral data, predictive modeling, AI, and direct customer research to anticipate customer behavior and inform product decisions.
Role type
Senior individual contributor UX & Predictive Experience Lead Researcher
Builds
Predictive models, simulations, and a learning system for the digital product team
Domain
Auto glass services / Digital product / Behavioral science
Deliverable
production ML models | product features
Required skills
Predictive modeling, behavioral science, causal inference, experimental design, qualitative research, Python, R, SQL, AI fluency, digital analytics platforms
Preferred skills
None stated
Technologies
Python, R, SQL, Quantum Metric, Amplitude, Adobe, Optimizely
Responsibilities
Build predictive models and simulations using first-party data to anticipate customer response; Validate predictive methods against observed behavior; Combine behavioral signals with qualitative research to understand customer motivation; Translate complex evidence into actionable implications for product teams; Raise organizational fluency in evidence-based decision making and predictive methods.
Seniority
Senior, hands-on IC
