Research Scientist

Role Overview

• Provide input on the future direction of new assessment solutions and roadmaps for existing tests and assessment products, including enhancements, upgrades, and new applications.
• Design, develop, refine, and integrate innovative content, methods, and scoring approaches for leadership tests, simulations, and other assessment solutions.
• Identify and develop ways to integrate 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.
• Manage and conduct validation studies for newly developed and existing assessment solutions, including analyses of reliability, validity, subgroup differences, fairness, and practical utility.
• Analyze cross-client datasets to develop norms, benchmarks, and score interpretation frameworks.
• Ensure assessment solutions align with professional testing standards, fairness expectations, and applicable legal and ethical guidelines.
• Write technical documentation and research reports.
• Design feedback reports and score interpretation resources that promote user insight, development, and action 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 technology partners, to support implementation and scale assessment solutions effectively.

Requirements

• Ph.D. in Industrial-Organizational Psychology or closely related field.
• MA-level will be considered if you have exceptional experience and skills.
• 1-2 years in a position focused 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 methods.
• Applied experience responsibly and ethically applying agentic AI to the workplace; preferred depth with regard 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 develop research manuscripts, technical documentation, reports, assessment content, and feedback language.
• Demonstrated ability to manage projects, work independently, and adapt quickly to changing priorities.
• Strong planning, organization, communication, customer focus, attention to detail, and collaboration skills are essential to the role.

Benefits

• Click here for an overview of the benefits DDI offers.