Lead Quantitative UX Researcher

At Prize Picks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom.

Ready to reimagine the DFS industry together?

• Own Research Strategy:
  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.
• Design and Conduct Complex Studies:
  Independently scope and spearhead advanced, multi-method quantitative research studies (e.g., A/B testing, complex surveys, Max Diff, profiling, behavioral modeling).
• Craft Actionable Narratives:
  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.
• Cross-Functional Collaboration:
  
  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 Research Methodologies:
  Innovate within existing quantitative methodologies to improve team efficiency, operational pace, and user experience measurement capabilities.
• Mentorship and Leadership:
  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.
• Promote Best Practices:
  Support the maintenance of internal insights repositories, democratize data tools across teams, and champion user experience metrics as direct predictors of core business outcomes.

• 8+ years of relevant applied experience in quantitative UX research, product data science, or an equivalent analytical consumer insights field.
• Education:
  
  Bachelor’s, Master’s, or PhD in Psychology, Economics, Neuroscience, Human Factors Engineering, Human-Computer Interaction (HCI), Computational Social Science, or equivalent work experience (advanced degree 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, and measurable business impact.

While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates.

The typical salary range for this position is $150,000 to $185,000. Compensation is determined by role, level, and location.

• Company-subsidized medical, dental, and vision plans
• 401(k) plan with company match
• Annual bonus
• Flexible PTO
• 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
• 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

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Prize Picks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.