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

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