Senior Mixed Methods UX Researcher

PrizePicks•Atlanta, NY

1d•Hybrid

About The Position

PrizePicks is seeking an experienced Senior Mixed Methods UX Researcher to lead end-to-end qualitative and quantitative research in support of its members and product decisions. The role partners closely with product managers, designers, engineers, data scientists, and analytics teams to set research direction, choose appropriate methods, and balance speed with rigor. The researcher independently scopes and executes both evaluative and generative studies, combines behavioral data with user insights, and translates findings into strategic, actionable recommendations. The position also contributes to the development of PrizePicks’ research practice by setting standards, creating reusable frameworks and resources, introducing methods and tools—including responsible use of AI in analysis and synthesis—and mentoring colleagues. The role champions accessible, inclusive research that reflects the diversity of PrizePicks members. This is a hybrid position based at PrizePicks headquarters in Atlanta, Georgia, or New York, New York. The application period is expected to remain open for 30 days from posting, though the date may be adjusted. The position requires authorization to work for any U.S. employer; visa sponsorship is unavailable.

Requirements

At least 5 years of relevant experience in UX Research, Design Research, or Human Factors Engineering, including significant experience leading mixed-methods work.
Bachelor’s, master’s, or PhD in Psychology, Human Factors, HCI, Anthropology, Statistics, Data Science, Sociology, or a related field.
Deep expertise in qualitative and quantitative research, with a track record of leading mixed-methods studies and conducting evaluative and generative research.
Quantitative expertise in survey design, sampling strategies, behavioral and log data evaluation, and statistical techniques such as segmentation, regression, and significance testing.
Proficiency with statistical software such as R, SPSS, or similar analytical tools.
Experience working with product analytics and experimentation data, such as Amplitude and A/B test results, and partnering with data science or analytics teams.
A portfolio or case studies demonstrating the end-to-end research process and its impact on an organization, team, product, or feature, including at least one example combining qualitative and quantitative methods and explaining the choice of methods.
Excellent communication and storytelling skills, including the ability to collaborate with and influence stakeholders, including senior leaders, and translate research into business impact.
Experience mentoring or coaching researchers or cross-functional partners and helping establish research standards.
Comfort with ambiguity and changing priorities; ability to adapt methods while maintaining quality and a solution-oriented approach.
Self-awareness and drive, including seeking feedback, balancing hands-on execution with strategic thinking, challenging assumptions, and helping teams reach shared solutions when opinions differ.
Experience with remote testing and survey tools such as dscout, UserTesting, UserZoom, or Qualtrics.
Curiosity and passion for uncovering user needs, motivations, behaviors, and pain points.
Authorization to work for any employer in the United States; the company is unable to sponsor or take over sponsorship of an employment visa.

Nice To Haves

Master’s or PhD in a relevant field.
Experience with advanced quantitative methods such as conjoint analysis, clustering, or causal inference.
Experience researching consumer, sports, or fantasy products.
Experience building research operations.

Responsibilities

Design and lead mixed-methods studies using qualitative and quantitative methods, selecting the appropriate approach for each research question.
Own the end-to-end research process, including prioritization and scoping, participant recruitment, data collection, analysis and synthesis, and delivery of findings.
Design rigorous surveys and quantitative instruments, including sampling plans, questionnaires, and data quality checks, and apply suitable statistical analyses to size behaviors, attitudes, and member segments.
Partner with analytics and data science teams to combine behavioral data with qualitative research, using quantitative evidence to size and validate findings and member stories to explain the underlying context.
Collaborate with cross-functional partners to identify research objectives and questions across the product lifecycle, and use data to validate and iterate on designs.
Translate findings into actionable insights and strategic narratives through storytelling, reports, creative artifacts, and read-outs, connecting research to product metrics and business impact.
Communicate findings and recommendations clearly to stakeholders, including senior leadership, and advocate for data-driven product decisions.
Mentor and coach junior and mid-level researchers, designers, and product partners on study design, methodology, and storytelling; lead research debriefs and stakeholder alignment meetings.
Improve the research practice by contributing standards, reusable frameworks, templates, and repositories, and introducing methods and tools that improve speed without sacrificing rigor.
Champion accessible and inclusive research that reflects the full range of members.

Benefits

Company-subsidized medical, dental, and vision plans.
401(k) plan with company match.
Annual bonus.
Flexible PTO, with two weeks strongly encouraged.
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 rather than hours clocked.
Company-wide in-person events and team outings.
Lifestyle enhancement program.
Company equipment provided, with Windows and Mac options.
Annual performance reviews with opportunities for growth and career development.