Remote Predictive UX Research Lead

Safelite; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Weekly pay and bonus opportunities

Benefits over $10k value (401(k),健康保险,

Job summary

Safelite is seeking a UX & Predictive Experience Lead Researcher to accelerate learning velocity across our digital product organization. You will blend first-party behavioral data, predictive modeling, AI, experimentation, and direct customer research to help teams learn earlier and invest with confidence.

Reporting to the Director of Product Design, you will lead this capability as a senior individual contributor across research, design, product, analytics, and data science.

Qualifications

• 7-9 years across UX research, behavioral science, data science, experimentation, or related disciplines, with significant experience shaping digital product decisions.
• REQUIRED QUALIFICATIONS
• 8+ years across UX research, behavioral science, data science, experimentation, or related disciplines, with significant experience shaping digital product decisions.
• Demonstrated 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 and the ability to connect behavioral evidence with customer motivation and context.
• Demonstrated fluency using AI across research, modeling, simulation, analysis, and prototyping.
• Experience operating in continuous discovery and delivery environments and using evidence to shape what gets built next.
• Experience with digital analytics and experimentation platforms such as Quantum Metric, Amplitude, Adobe, Optimizely, or similar.
• Ability to make sophisticated methods and evidence understandable and actionable for senior product and business leaders.

Responsibilities

• Increase learning velocity across our product teams.
• Build a learning system that helps teams reduce uncertainty earlier in the product development cycle.
• Use behavioral data, predictive methods, simulation, AI, experimentation, and research together, choosing the method based on the decision we need to make.
• Create ways to explore multiple hypotheses and experience directions before committing significant time and investment.
• Help teams distinguish between what we know, what the evidence suggests, and what still needs to be learned.
• Build predictive experience capability and develop models that use first-party data to anticipate customer response.
• Create synthetic customer models to explore scenarios and test directions earlier.
• Use predictive signals to inform prioritization and identify discovery or experiments with high value.
• Advance methods as new data and AI capabilities emerge.
• Establish confidence in the signal and validate methods against observed behavior.
• Define confidence levels, limitations, and appropriate use so teams act on the output.
• Investigate divergence between predicted and observed behavior as a source of learning.
• Continuously improve models and methods with new evidence.
• Connect signals to human understanding by combining behavioral signals with qualitative research.
• Design research and experiments around the uncertainty that matters for decision making.
• Use direct customer research where context and motivation cannot be inferred reliably.
• Feed new customer understanding back into the broader learning system.
• Turn learning into better decisions by translating evidence into clear implications for teams.
• Create tools and workflows so teams can use predictive insight without being modeling experts.
• Provide a point of view on exploration, experimentation, and direction based on evidence.
• Raise organizational fluency in evidence-based decision making, experimentation, predictive methods, and AI.

Skills

UX research

Behavioral science

Data science

Experimentation

Python

R

SQL

Qualitative research

AI in research

Digital analytics

Experimentation platforms

Education

Bachelor's degree or equivalent

Tools

Python

R

SQL

Job description

Safelite is seeking a UX & Predictive Experience Lead Researcher to accelerate learning velocity across our digital product organization. You will blend first-party behavioral data, predictive modeling, AI, experimentation, and direct customer research to help teams learn earlier and invest with confidence.

Reporting to the Director of Product Design, you will lead this capability as a senior individual contributor across research, design, product, analytics, and data science.