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Quantitative UX Researcher

Employer
Facebook
Location
Menlo Park, California
Closing date
Nov 11, 2021

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Position Type
UX / Design Researcher
Hours
Full Time
Organization Type
Business
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Our UX Research team is designing for the global diversity of human needs, which requires us to deeply understand the behaviors of the people behind them. Instagram researchers tackle some of the most complex challenges to gain deeper insights into how people interact with each other and the world around them, and work collaboratively to contribute new ideas to products that impact the experiences of billions of people on a global scale.
We employ a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews. We value a diverse range of perspectives and stem from many different backgrounds - geographically, culturally, educationally, philosophically. We come from industry and academia, with roots in anthropology, design research, economics, HCI, human factors, market research, political science, sociology, social computing, and social psychology, among others.
The ideal candidate is passionate about increasing access to Instagram for people around the world. We're looking for excellent communicators who are knowledgeable about product design and/or ranking and personalization, passionate about understanding people, curious about the relationship between technology and society, comfortable in a fast-moving organization, excited to collaborate, open-minded about learning new skills and methods, and focused on influencing the future of Instagram.

Quantitative UX Researcher, Instagram Responsibilities
  • Work closely with product and business teams to identify research topics
  • Act as a thought leader in the domain of research, while advocating for the people who could use our products
  • Design studies that address both user behavior and attitudes
  • Contribute to research team strategy within org
  • Work broadly across team to help identify trade-offs between short and long-term research goals and select right mix of projects to benefit team
  • Generate insights that both fuel ideation and evaluate designs
  • Conduct research using a wide variety of methods, and interpret analysis through the lens of UX, HCI, and social science
  • Collaborate closely with other UX researchers to leverage and build upon knowledge
  • Work cross-functionally with design, product management, content strategy, engineering and marketing
  • Partner with engineers, analysts, and other technical roles to create and share research
  • Communicate results and illustrate suggestions in compelling and creative ways
  • Mentor other researchers, and maintain our teams high standard of work

    Minimum Qualifications
    • Bachelor's degree in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information science, Media studies, Computer Science, or Economics
    • 7+ years' relevant experience within user experience, applied research setting and/or product research and development
    • Experience planning and executing complex research projects in a product group or business area, working across multiple projects simultaneously
    • Experience identifying, initiating, and leading projects of large scope that contribute to the greater research/product team through mentoring, culture, subject matter, or research expertise
    • Experience building meaningful cross-functional relationships
    • Experience translating research findings into strategic narratives
    • Effective communication skills with experience presenting to diverse audiences
    • Experience working with large-scale data in multi-method studies
    • Experience with survey design and response effects
    • Experience coding with R, SQL or SPSS

      Preferred Qualifications
      • Master's degree in related field and 5+ years' relevant experience, or PhD in related field and 2+ years' relevant experience
      • 3+ years of experience applying multivariate statistical methods such as GLM, analysis of quasi-experimental research designs with non-equivalent groups (e.g., regression adjustment, matching, propensity score stratification), longitudinal analysis, classification, dimension reduction, clustering, hierarchical linear (random effects) modeling, etc., to people research problems in organizations
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