Lead Quantitative UX Researcher

About the role

We are seeking an exceptional, experienced, and strategic Lead Quantitative UX Researcher to join our team. This role requires a deep understanding of quantitative user experience methodologies, advanced statistical profiling, and telemetry log analysis.

Responsibilities

• Own the quantitative research strategy for major product areas, conducting complex, multi-method research studies and transforming large data volumes into compelling, actionable strategic narratives.

• Collaborate closely with cross-functional partners, including Product Management, Design, Engineering, Product Analytics, and Consumer Insights, while also supporting and mentoring our growing team of qualitative and mixed-methods UX researchers.

• Innovate within existing quantitative methodologies to improve team efficiency, operational pace, and user experience measurement capabilities.

• Mentor junior and mid-level researchers, advocating for evidence-based research rigor across the organization while guiding colleagues on survey design and quantitative fundamentals.

• Promote best practices by supporting the maintenance of internal insights repositories, democratizing data tools across teams, and championing user experience metrics as direct predictors of core business outcomes.

Requirements

• 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).

• 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.

Qualifications

• Experience with statistical modeling, including GLM, multi-variable regression, Bayesian statistics, and the ability to educate non-experts on data nuances.

• Ability to interpret and analyze large, unstructured datasets.

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Passion for using data to drive product evolution and enhance user experiences.

Skills

• Advanced statistical profiling and telemetry log analysis.

• Expert proficiency in SQL and specialized applied programming packages such as R or Python.

• Comprehensive expertise in advanced survey writing, robust user sampling workflows, data stratification, and utilizing leading intercept deployment tools.

• Ability to interpret and analyze large, unstructured datasets.

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Passion for using data to drive product evolution and enhance user experiences.

Benefits

• 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)

Pay

The typical salary range for this position is $150,000 to $185,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.

Schedule

We are open to remote candidates and are based in Atlanta, but we are open to qualified applicants from anywhere in the U.S.