Ux Researcher II (quant Focused)

Smartsheet Smartsheet · Seattle · United States · User Experience (UX)

Smartsheet is seeking a UX Researcher II (Quant Focused) to drive strategic impact by executing end-to-end research, upleveling insights, and influencing product strategy. The role requires expertise in quantitative data analysis using R or Python, familiarity with AI tools and their risks, and the ability to collaborate effectively with product teams.

What you'd actually do

  1. Drive Strategic Impact: Impact the product at the feature level while broadening influence by applying insights holistically across an entire experience and pillar.
  2. Execute End-to-End Research: Identify tasks and activities without guidance, and work with the team to prioritize research questions and create a research roadmap. Adapt research methodologies, shifting effectively between rapid, 'scrappy' approaches and comprehensive, in-depth studies, as necessitated by the specific research questions.
  3. Uplevel Insights: Provide recommendations that increase the knowledge of the team beyond a single project, moving from tactical to strategic insights.
  4. Influence Strategy: With guidance, start to influence product priority and strategy in addition to near-term design and product improvements.
  5. Apply Appropriate Methodologies: Use multiple generative and evaluative research methods to answer product and design questions, while articulating the limitations of different methodologies.

Skills

Required

  • UX research
  • quantitative data analysis
  • R or Python
  • descriptive and inferential statistics
  • generative and evaluative research methods
  • communication skills
  • AI Literacy

Nice to have

  • Human-Computer Interaction
  • Journalism
  • Anthropology
  • Communication
  • Design

What the JD emphasized

  • AI Literacy
  • Proven Research Experience: 3-5 years of experience in UX research or a related field.
  • Statistical & Technical Proficiency: Familiarity with descriptive and inferential statistics, with practical experience using R or Python to manipulate and analyze large datasets, including telemetry/behavioral logs and complex survey results.