Amazon Web Services, Inc.
Corporate Operations, Research Science, no business category
ResearchScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“Research Scientist II at Amazon Web Services, Inc.. Skills: Psychometrics, Machine Learning, NLP. Perform psychometric aspects of exam development. Support psychometric aspects of exam operations”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
PhD or foreign equivalent degree in Statistics, Psychometrics, Educational Measurement, Quantitative Psychology, Data Science, Industrial-Organizational (I/O) Psychology, or a related field, One year of research or work experience, 1 year of experience in large-scale education, licensure, or certification assessment programs, 1 year of experience in operational psychometric tasks, 1 year of experience in at least one complex test design, 1 year of experience in machine learning (ML) or natural language processing (NLP), Programming skills in R or Python
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Perform psychometric aspects of exam development
Support psychometric aspects of exam operations
Conduct psychometric analysis in operational work
Perform item analysis using psychometric methods
Build optimal test forms and pools via optimization
Analyze item bank health
Monitor item bank health
Set pass standards via standard setting studies
Support Job Task Analysis (JTA)
Define test blueprints
Refresh test blueprints
Evaluate AWS certification exams’ validity
Ensure AWS certification exams’ reliability
Ensure AWS certification exams’ applicability
Ensure AWS certification exams’ efficiency
Ensure AWS certification exams’ accuracy
Participate in research projects
Improve operational processes
Improve operational quality
Develop automation code using R or Python
Present results of analyses to stakeholders
Interpret results of analyses to stakeholders
Communicate results of analyses to stakeholders
Follow accreditation standards
Engage with professional community
How You'll Work.
Team & Collaboration
Stakeholder communication
Communication Scope
Written reports; Oral reports
Process & Methodology
Project planning
Full Job Description
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Research Scientist II Job Location: Seattle, Washington Job Number: AMZ9698004 Position Responsibilities: Perform and support the main psychometric aspects of exam development and operations, including but not limited to automated test assembly, item and test analyses, optimal item bank design, job task analysis, standard setting, quality assurance, and project planning. Conduct main aspects of psychometric analysis in operational work including performing item analysis using psychometric methods, building optimal test forms and pools via optimization techniques, analyzing and monitoring item bank health, setting pass standards via standard setting studies, and supporting Job Task Analysis (JTA) to define and refresh test blueprints. Conduct main aspects of psychometric analysis in developing and applying statistical and psychometric modeling to evaluate and ensure AWS certification exams’ validity, reliability, applicability, efficiency, and accuracy. Participate in research projects to improve existing operational processes and quality using advanced techniques such as Machine Learning (ML), statistical modeling, Natural Language Processing (NLP), Generative Artificial Intelligence (GenAI), etc. Develop automation code using R or Python for psychometric workflow pipeline and other tasks to improve operational efficiencies. Present, interpret, and communicate the results of analyses to stakeholders through written and oral reports. Follow the accreditation standards set by ISO/IEC:2012 17024 and the National Council for Certifying Agencies (NCCA) as they relate to valid psychometric practices. Engage with the professional community through conferences and publications. Position Requirements: PhD or foreign equivalent degree in Statistics, Psychometrics, Educational Measurement, Quantitative Psychology, Data Science, Industrial-Organizational (I/O) Psychology, or a related field and o
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