We’re seeking an experienced and thoughtful Senior Quantitative UX Researcher with a proven track record to join our team. The ideal candidate has a strong background in social science, survey research, log analysis, and statistical modeling and programming, along with a talent for telling a story with data.

In this role, you’ll conduct complex analyses and simplify findings into actionable insights and recommendations that enhance our product experience. You’ll collaborate with cross-functional teams, including Product Management, Design, Engineering, and Analytics, while also supporting our growing team of qualitative UX researchers!

We're looking for an authentic, confident individual who will:

• Design, execute, and analyze quantitative research using a variety of methods (e.g., experiments, surveys) and statistical techniques.
• Leverage quantitative data to craft compelling, actionable insights and strategic narratives, effectively communicating findings to key stakeholders through reports, storytelling, and presentations.
• Work closely with Product Managers, Designers, Engineers, and other researchers to define key research objectives and questions, ensuring insights inform decision-making throughout the product lifecycle.
• Collaborate with data and research teams (e.g., UX research, market research, business intelligence, consumer insights, and data science) to integrate diverse methodologies and synthesize insights for a comprehensive understanding of our users.
• Develop, conduct, and promote best practices within the product organization, including experimentation (A/B testing), survey design, as well as defining and measuring product UX metrics.
• Support the development and maintenance of a research roadmap that aligns with business goals, objectives, and priorities.
• Have a passion for sports, daily fantasy, and/or real money games

What you have:

• 5 years of relevant experience in UX Research or Data Science (or a similar field)
• Bachelor’s, Master’s, or PhD in Psychology, Economics, Neuroscience, Human Factors Engineering, Human-Computer Interaction, Computational Social Science, or equivalent work experience (advanced degree is preferred). 
• A large general knowledge of probability and statistics as well as the ability to communicate to experts and educate non-experts. 
• Advanced statistical modeling skills (e.g., GLM, Bayesian) on large datasets
• Proficiency in SQL and R or Python
• Expertise in survey writing, sampling, and analysis as well as experience with common survey tools (e.g., on-platform/intercept surveys, Qualtrics).
• A portfolio of case studies highlighting your research and data analysis process in addition to the impact your work had on an organization, team, product, and/or feature.
• A deep curiosity and passion for uncovering user needs, motivations, behaviors, and pain points.

Where you’ll live:

• This is a hybrid role working out of our HQ in Midtown Atlanta, GA

Working at PrizePicks:

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.