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User Study Researcher V


PayCompetitive
LocationRemote
Employment typeOther

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  • Job Description

      Req#: 5543
      Title:User Study Researcher V, Req# 35651667

      Location: Remote (Strong preference for candidates located in Seattle. Secondary location preference: New York, San Diego, or the Bay Area,Exceptionally strong candidates outside these areas will be considered)

      Contract: 12+ Month

      Job Description:

      This role is for Senior Mixed-Methods Researcher to help inform and influence AIML-powered technology and user experiences. An ideal candidate is experienced in conducting human-centered research and analysis with mixed methods, is able to work autonomously and collaboratively, and has experience working with cross-functional teams.

      In this role you will:
      • Work closely with engineers, PMs, designers, and data scientists to align on research goals, develop appropriate study designs, and complete in-person and remote user studies.
      • Extract insights about usability, user experience, and user sentiment from qualitative and quantitative data, and recommend improvements.
      • Work autonomously and mentor other researchers to support the goals of the research organization.
      Minimum Qualifications
      • 4+ years of experience in human-centered research: designing and conducting user studies, analyzing study data, and sharing results (reports, presentations, etc.)
      • Comfortable analyzing qualitative and quantitative data
      • Able to produce meaningful visualizations and reports of the data, and effectively present results to different audiences and across multiple media formats
      • Able to work independently as well as collaboratively with minimal direction
      • Organized, highly attentive to detail, and manages time well
      • Experience working in industry
      Preferred Qualifications
      • Advanced degree (MS/PhD) in human factors, human-computer interaction, social or behavioral science, data analytics, or any engineering or computer science field
      • Proficiency with qualitative research methods (e.g. interviews, thematic analysis, observational research, etc.)
      • Proficiency in any data analysis and visualization software, and/or programming languages for data analysis (e.g. Matlab, JMP, SPSS, Python, R, Tableau, etc.)
      • Experience using spreadsheet and presentation software (e.g. Numbers, Excel, Keynote, Adobe Illustrator, etc.)
      • Solid understanding of statistics
      • Prior research experience on artificial intelligence or machine learning
      • Prior research experience on improving personalized user experiences
  • About the company

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