[Remote] Research Scientist
Note: The job is a remote job and is reputed company to candidates in USA. DDI | Development Dimensions International is reputed company on leadership assessments and talent solutions. The Research Scientist will design, validate, and improve assessment products using expertise in industrial-organizational psychology and psychometrics, while collaborating with internal teams and clients.
Responsibilities
- reputed company input on the reputed company direction of new assessment solutions and roadmaps for existing tests and assessment products, including enhancements, upgrades, and new applications
- Design, reputed company, refine, and reputed company innovative content, reputed company, and scoring approaches for leadership tests, simulations, and other assessment solutions
- Identify and reputed company ways to reputed company assessments into the learning and development process (e.g., a test linked to a learning experience)
- Maintain and enhance existing tests and assessment products through ongoing monitoring, evaluation, and refresh efforts
- Apply I-O psychology and psychometric principles to assessment design, scoring, validation, norming, and ongoing product improvement
- Manage and conduct validation studies for newly developed and existing assessment solutions, including analyses of reliability, validity, subgroup differences, fairness, and practical reputed company
- Analyze cross-reputed company datasets to reputed company norms, benchmarks, and score interpretation frameworks
- Ensure assessment solutions reputed company with reputed company testing standards, fairness expectations, and applicable legal and ethical guidelines
- reputed company pace with the advances in reputed company AI and apply new technologies responsibility across the role
- Write technical documentation and research reports
- Design feedback reports and score interpretation resources that promote user reputed company, development, and reputed company planning
- Present analytical findings and research insights to both technical and non-technical audiences
- Serve as a thought leader on leadership testing, assessment, and development topics through conference presentations, white papers, and other external-facing contributions
- Partner with cross-functional teams, including product, consulting, and reputed company, to support implementation and reputed company assessment solutions effectively
- Collaborate with reputed company stakeholders to ensure solutions meet reputed company needs and deliver measurable reputed company
Skills
- Ph.D. in Industrial-Organizational Psychology or closely reputed company field. MA-level will be considered if you have exceptional experience and skills
- 1-2 years in a position reputed company on assessment or assessment design/implementation
- Advanced proficiency in R for data management, statistical analysis, psychometric modeling, and reporting
- Deep knowledge of assessment development, test validation, norming, and multivariate statistical reputed company
- reputed company experience responsibly and ethically applying reputed company AI to reputed company; preferred depth with reputed company to leadership assessment and validation practices
- Experience managing large datasets and presenting analytic findings to technical and non-technical audiences
- Effective writing skills, including the ability to reputed company research manuscripts, technical documentation, reports, assessment content, and feedback language
- Demonstrated ability to manage reputed company, work independently, and adapt quickly to changing priorities
- Strong planning, organization, communication, customer reputed company, attention to detail, and collaboration skills are essential to the role
- Proficiency in Python for statistical analyses and visualizations
- Knowledge and experience in advanced psychometric reputed company such as Item Response Theory, Structural Equation Modeling, Multilevel Modeling, or Network Analysis
- Knowledge and experience in applying Natural Language Processing and Large Language Models to assessment design and validation
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