UX & Predictive Experience Lead Researcher

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📋 Description

• Build a learning system that helps teams reduce uncertainty earlier in product development
• Combine behavioral data, predictive methods, simulation, AI, experimentation, and research based on the decision needed
• Create ways to explore hypotheses and experience directions before significant investment
• Develop predictive models and simulations using first-party behavioral data
• Create synthetic customer models for scenario exploration and assumption testing
• Use predictive signals to inform prioritization and identify valuable discovery or experimentation
• Validate predictive methods against observed customer behavior and known outcomes
• Define confidence levels, limitations, and appropriate use of predictive outputs
• Investigate divergence between predicted and observed behavior as a source of learning
• Continuously improve models and methods as new evidence becomes available
• Combine behavioral signals with qualitative research to understand customer behavior and motivations
• Design research and experiments around decision-critical uncertainty
• Translate complex evidence into clear implications for product and design teams
• Create tools and ways of working that make predictive insight accessible to non-modeling experts
• Advise where to explore, experiment, invest, or change direction based on evidence strength
• Raise organizational fluency in evidence-based decision making, experimentation, predictive methods, and AI
• Perform other duties as assigned
• Comply with all policies and standards
• Report to the Director of Product Design and work across research, design, product, analytics, and data science

🎯 Requirements

• Bachelor's Degree or equivalent work experience required
• 8+ years across UX research, behavioral science, data science, experimentation, or related disciplines, with significant experience shaping digital product decisions
• Experience building predictive, behavioral, simulation, or decision-support methods using first-party data
• Strong applied statistics and experimentation foundation, including causal inference, experimental design, and working explicitly with uncertainty
• Working fluency in Python or R and SQL
• Hands-on qualitative research experience
• Ability to connect behavioral evidence with customer motivation and context
• Fluency using AI across research, modeling, simulation, analysis, and prototyping
• Experience operating in continuous discovery and delivery environments
• Experience with digital analytics and experimentation platforms such as [REDACTED], [REDACTED], [REDACTED], [REDACTED], or similar
• Ability to make sophisticated methods and evidence understandable and actionable for senior product and business leaders
• Employment eligibility in accordance with applicable laws, regulations, and company policies

🏖️ Benefits

• Competitive weekly pay
• Bonus opportunities
• 401(k) plan with company matching
• Medical coverage plans customized to suit your needs
• Paid time off (PTO) programs
• Company holidays
• Paid volunteer days
• Up to $5,250 in tuition reimbursement per year
• Work/life balance
• Primarily remote work
• Travel as needed to the [REDACTED] Home Office or other designated locations

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