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PrizePicks · 1 week ago

Senior Quantitative UX Researcher

Atlanta, GA

Full-time

Hybrid

Senior Level

5+ years exp

PrizePicks is the fastest-growing sports company in North America, recognized for its innovative platform for Daily Fantasy Sports. The Senior Quantitative UX Researcher will conduct complex analyses to derive actionable insights, collaborating with cross-functional teams to enhance product experiences.

Fantasy SportsGamingSports

Growth Opportunities

No H1B

Responsibilities

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

Qualification

Quantitative UX ResearchStatistical ModelingSQLRPythonSurvey DesignData AnalysisCuriosityCommunication SkillsCollaboration Skills

Required

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