Lead Researcher - Predictive Experience

Lead Researcher – Predictive Experience

We’re looking for a Lead Researcher, Predictive Experience to help build a new way of understanding and anticipating customer behavior across digital experiences.

This isn’t a traditional UX Research role. We’re looking for someone who can bring together behavioral research, predictive modeling, experimentation, AI, and first-party customer data to help product teams learn earlier and make better decisions before experiences go live.

What You’ll Do:

• Build predictive models and simulations to anticipate how customers may respond to new digital experiences.
• Explore synthetic customer and AI-assisted research methods to test hypotheses and experience directions earlier in the product lifecycle.
• Combine behavioral data with qualitative research to understand both what customers are likely to do and why.
• Validate predictions against real customer behavior and continuously improve models as new evidence becomes available.
• Design experiments and research around the biggest areas of uncertainty.
• Determine when predictive or synthetic evidence is strong enough to inform a decision and when live customer research or A/B testing is still needed.
• Partner closely with Product, Design, Analytics, Research, and Data Science teams.
• Translate complex models and research findings into clear recommendations for product and business leaders.

What We’re Looking For:

• 8+ years of experience across UX research, behavioral science, data science, experimentation, or related disciplines.
• Experience building predictive, behavioral, simulation, or decision-support models using real-world behavioral data.
• Strong foundation in applied statistics, experimental design, causal inference, and A/B testing.
• Working fluency in Python or R and SQL.
• Hands-on qualitative research experience and the ability to connect behavioral data with customer motivations and context.
• Hands-on experience using AI across research, modeling, simulation, analysis, or prototyping.
• Ability to clearly communicate model confidence, uncertainty, and limitations to non-technical stakeholders.
• Experience with digital analytics or experimentation platforms such as Quantum Metric, Amplitude, Adobe, Optimizely, or similar.

Nice to Have:

• Experience with synthetic customers, agent-based modeling, behavioral simulation, propensity, uplift, or choice modeling.
• Experience with conversational AI, agentic experiences, or other AI-enabled customer experiences.
• Experience in high-volume digital environments such as ecommerce, marketplaces, on-demand services, travel, hospitality, home services, automotive, or complex B2B platforms.

This is a senior individual contributor opportunity where you’ll have the chance to build a new capability from the ground up and influence how an organization uses research, behavioral data, experimentation, and AI to make better product decisions.