Senior Mixed Methods UX Researcher

Role overview Lead research that combines qualitative insight and quantitative evidence to guide product decisions across the full product lifecycle. You’ll independently shape research priorities, select methods suited to each question, and turn findings into clear recommendations for product teams and senior stakeholders. The role also helps raise research standards and supports the growth of other researchers and cross-functional partners.

Responsibilities - Plan and lead studies such as usability tests, interviews, diary and longitudinal studies, surveys, behavioral-data analysis, and experiment reviews. - Own research from scoping and participant recruitment through data collection, analysis, synthesis, and delivery of findings. - Design sound surveys and sampling plans, check data quality, and use appropriate statistics to understand behaviors, attitudes, and user segments. - Combine analytics and data science evidence with participant insights to explain both the scale of a behavior and the reasons behind it. - Partner with product, design, engineering, analytics, and data science teams to define questions and evaluate concepts throughout development. - Present actionable findings through reports, readouts, and compelling narratives; mentor colleagues and contribute reusable methods, standards, and research resources.

Requirements - At least five years in UX research, design research, or human factors, including substantial leadership of mixed-methods work. - Bachelor’s degree or higher in a relevant field such as psychology, HCI, human factors, anthropology, statistics, data science, or sociology; graduate study is preferred. - Strong qualitative and quantitative research skills, including generative and evaluative study experience, survey design, sampling, and statistical analysis. - Experience with behavioral or product analytics and experimentation data, and collaboration with analytics or data science teams. - Ability to communicate findings and business relevance to varied stakeholders, including senior leaders, and to coach research partners. - Experience with remote research or survey tools; a portfolio or case studies demonstrating end-to-end work and impact.

Nice to have Experience with advanced methods such as conjoint analysis, clustering, or causal inference; consumer, sports, or fantasy product research; or research operations. The listing also values inclusive research and interest in responsible AI use in analysis and synthesis.

Benefits and work setup Hybrid work from Atlanta or New York. Listed benefits include health coverage, a matched retirement plan, annual bonus, flexible paid time off, paid parental leave, disability benefits, flexible work schedules, company equipment, team events, and career development opportunities.