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 one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Must have 1 year of experience in the following skill(s): 1. large-scale education, licensure, or certification assessment programs. 2. operational psychometric tasks on large-scale education, licensure, or certification assessment programs including item analysis, equating and scaling, item response theory, classical test theory, form and pool assembly, item bank health analysis, standard setting, and job task analysis. 3. at least one of the complex test designs such as linear-on-the-fly testing (LOFT), computerized adaptive testing (CAT). 4. at least one of the following areas including machine learning (ML) or natural language processing (NLP). 5. Programming skills in at least one script-based programming language (R, Python).
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $136,000/year to $184,000/ year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000
Basic Qualifications
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 one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Must have 1 year of experience in the following skill(s): 1. large-scale education, licensure, or certification assessment programs. 2. operational psychometric tasks on large-scale education, licensure, or certification assessment programs including item analysis, equating and scaling, item response theory, classical test theory, form and pool assembly, item bank health analysis, standard setting, and job task analysis. 3. at least one of the complex test designs such as linear-on-the-fly testing (LOFT), computerized adaptive testing (CAT). 4. at least one of the following areas including machine learning (ML) or natural language processing (NLP). 5. Programming skills in at least one script-based programming language (R, Python).#0000
Preferred Qualifications
Please see job description and the position requirements above.
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