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

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”