Job Title – Senior Quantitative User Researcher

Duration – 12 Months

Location – Remote role but must be located in Seattle.

Quantitative User Researcher

Location

Strong preference for candidates located in Seattle.

Exceptionally strong candidates outside these areas will be considered.

Description

This role is for Senior Quantitative User 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 quantitative 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 and develop appropriate study designs
• Investigate user experience and behavior using empirical methods such as surveys, longitudinal and experience-sampling studies, and log analysis; and apply state-of-the-art statistical methods
• Report on your research and make recommendations to stakeholders
• Work autonomously and mentor other researchers to support the goals of the research organization

Minimum Qualifications

• 4+ years of experience in an applied research setting, or similar.
• Comfortable analyzing quantitative data, including data from longitudinal study designs
• Experience in programming languages used for data processing and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go)
• Experience with survey questionnaire design, sampling approaches and weighting
• 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, statistics, or any engineering or computer science field
• Experience with experience sampling/ecological momentary assessment techniques
• Understanding of test development procedures and applied psychometric techniques
• Data science experience, especially with large, distributed data frameworks (e.g., Spark or Hadoop)
• Prior research experience on artificial intelligence or machine learning
• Prior research experience on improving personalized user experiences