Sr. Quantitative User Researcher (Must be Local to Seattle) - netPolarity, Inc. (Saicon Consultants, Inc.) : Job Details

Requirement Details:

Job Title: Sr. Quantitative User Researcher

Location: 100% Remote (But must be located in Seattle to come into the office as needed)

Duration: 12+ months with potential for extension

Rate Range: $100-103/hr on W2

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