What are the responsibilities and job description for the UX Researcher (Mixed Methods) position at Planet Interactive?
UX Researcher (Mixed Methods)
Pay: Up to $92.20/hour DOE
Benefits: Health, Dental, Vision and more
Location
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.
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
Salary : $92
