Staff UX Researcher, Quantitative

Lead complex research initiatives to shape strategy and vision while analyzing large datasets to uncover insights. Collaborate with product and data teams to design user-centric, data-informed decisions and evolve research frameworks.

Responsibilities

• Lead complex research high-impact research initiatives, shaping strategy and vision.
• Manipulate and analyze large, complex datasets to uncover insights and guide decisions with advanced statistical methods.
• Break complex challenges into rapid, testable experiments.
• Partner with product and data teams to design strategies and projects grounded in robust quantitative evidence.
• Build living dashboards, metrics frameworks, and automated reporting to track experience performance at scale.
• Conduct multivariate experiments, and funnel analyses to measure impact and prioritize improvements.
• Evolve design and research frameworks to incorporate AI-driven methods and predictive analytics.
• Think long-term and create sustainable frameworks and methods for UXR that can be adopted, adapted, and evolved across multiple teams.
• Maintain consistency and quality while enabling faster, evidence-based iteration cycles for cross-functional teams who do research.
• Mentor researchers and designers in quantitative methods, analytics tools, and AI integration.
• Lead cross-functional workshops to align on hypotheses, metrics, and experiment design.
• Build strong relationships with engineering, data science/analytics, and product management to ensure actionable outcomes.
• Communicate findings clearly to both technical and non-technical audiences.

Requirements

• 6+ years in UX research, analytics, or product data science roles with measurable impact.
• Proficient skills in SQL, data visualization tools (Tableau, Looker, etc.), and statistical software (R, Python, SPSS, etc.).
• Proven ability to apply quantitative methods — statistical modeling, behavioral data analysis, experimental design.
• Experience implementing AI-driven research methodologies and outcomes.
• Strong understanding of large-scale data pipelines and how to work with data engineering teams.
• Ability to integrate quantitative research with qualitative insights for a holistic view of the user experience.
• Proficiency in testing solutions through both research and in-product experimentation.

Benefits

• Flexible work environment that empowers you to do your best work.
• A culture that celebrates performance.
• The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard.
• Career-defining opportunities.
• Flexible paid time off and remote work policies.
• Equity options, because this is your company too.
• Contributions to your pension plan. Your future matters.
• Training opportunities to grow your skills and career.
• Health and wellness credit so you feel your best.
• Time off to volunteer and give back to your community.
• Interest groups, employee led networks, social committees to sponsored sports teams.
• Computer purchase program to get your personal Macbook.
• Enhanced parental leave to support growing families.