Overview
On Site
Full Time
Skills
Log Analysis
Art
Reporting
Mentorship
Programming Languages
Data Processing
Python
R
MATLAB
C++
Java
Media
Organized
Human Factors And Ergonomics
Human-computer Interaction
Science
Data Analysis
Statistics
Computer Science
Data Science
Apache Spark
Apache Hadoop
Artificial Intelligence
Machine Learning (ML)
Research
User Experience
Job Details
Job Description:
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
Requirement:
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
Required
USER EXPERIENCE
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
Requirement:
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
Required
USER EXPERIENCE
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.