Lead Quantitative UX Researcher

PrizePicks

Lead Quantitative UX Researcher at PrizePicks; conducting complex research and transforming data into strategic narratives. Collaborating with cross-functional teams to achieve product goals and improve user experience.

Posted 6/2/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $150,000 - $185,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Establish and execute the quantitative UX research roadmap and data strategy for major product lines, ensuring insights map directly to business priorities, core customer satisfaction (CSAT) indexes, and product goals.
Independently scope and spearhead advanced, multi-method quantitative research studies (e.g., A/B testing experimentation frameworks, complex on-platform surveys, MaxDiff, profiling, and behavioral modeling).
Synthesize complex log data and high-volume survey results into actionable insights and strategic storytelling artifacts that inform leadership decisions and de-risk high-stakes product discovery.
Partner directly with Product Managers, Designers, and Engineers to identify research questions, define critical user journeys, and establish shared understandings early in the product life cycle.
Innovate within existing quantitative methodologies to improve team efficiency, operational pace, and user experience measurement capabilities.
Actively mentor junior and mid-level researchers, advocating for evidence-based research rigor across the organization while guiding colleagues on survey design and quantitative fundamentals.
Support the maintenance of internal insights repositories, democratize data tools across teams, and champion user experience metrics as direct predictors of core business outcomes.

Requirements

What you’ll need

8+ years of relevant applied experience in quantitative UX research, product data science, or an equivalent analytical consumer insights field.
Bachelor’s, Master’s, or PhD in Psychology, Economics, Neuroscience, Human Factors Engineering, Human-Computer Interaction (HCI), Computational Social Science, or equivalent work experience (an advanced degree is preferred).
Deep general knowledge of probability and advanced statistical modeling skills (e.g., GLM, multi-variable regression, Bayesian statistics) on large, unstructured datasets, alongside the ability to educate non-experts on data nuances.
Expert proficiency in SQL and specialized applied programming packages such as R or Python for custom analytics and data manipulation.
Comprehensive expertise in advanced survey writing, robust user sampling workflows, data stratification, and utilizing leading intercept deployment tools (e.g., Qualtrics, Dscout).
A clear case study portfolio showcasing your end-to-end research execution, professional visual deliverables (e.g., charts, matrices, frameworks), and the measurable business or metric-driven impact your work yielded.

Benefits

Comp & perks

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Annual bonus
Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
Generous paid leave programs, including 16-week paid parental leave and disability benefits
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
Company-wide in-person events and team outings
Lifestyle enhancement program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunities for growth and career development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative UX researchA/B testingMaxDiffbehavioral modelingstatistical modelingGLMmulti-variable regressionBayesian statisticsSQLR

Soft Skills

mentoringstrategic storytellingcollaborationevidence-based researchcommunication