Senior Quantitative UX Researcher

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:

• 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. #LI-Remote