Specialist, Measurement

Pearson • United States,

6h • $100,000 - $120,000

About The Position

The Specialist, Measurement is part of Pearson’s Psychometric and Research Services group within the US School Assessment group and the broader Assessment and Qualifications team. The role provides data analysis support to psychometricians delivering large-scale custom assessment programs. It requires strong technical and analytical skills, problem-solving ability, organization, collaboration, and comfort handling ambiguity.

The Specialist maintains psychometric programs and statistical analysis processes, develops quality controls, works with large datasets, and maintains code and configurations for psychometric software. The role coordinates analysis and data transfers across projects, improves data workflows, and leads or supports analysis for standard-setting and data review meetings. It also includes training and mentoring colleagues, communicating results to technical and non-technical audiences, and supporting project planning, resource coordination, and documentation. Travel is approximately 5–10%.

Pearson describes the opportunity as supporting assessment programs that help educators and institutions make informed decisions about learning and student achievement, while working with psychometricians, research scientists, and technical professionals to solve analytical challenges and deliver reliable assessment results.

Requirements

• Bachelor’s degree with experience as a lead data analysis consultant, or a master’s or doctoral degree with data processing experience.
• Experience in statistical analysis, programming, and large-scale data processing.
• Experience working with large datasets and developing or maintaining analytical code.
• Experience in project coordination, resource management, budgeting, and team training or mentoring.
• Experience leading data analysis projects and serving as a technical resource.
• Experience managing the software development lifecycle, including development, testing, validation, and implementation.
• Advanced proficiency in Python and at least one additional programming language, such as R, SAS, Java, or C#.
• Experience developing quality control processes and troubleshooting or debugging complex programs.
• Ability to improve code, streamline workflows, and train or mentor technical team members.
• Familiarity with psychometric principles, including item response theory, test equating, scaling, linking, and standard-setting.
• Experience supporting statistical analyses for large-scale testing programs and validating results.
• Strong communication, organization, and collaboration skills, with the ability to manage multiple priorities.
• Ability to mentor colleagues, document processes, improve workflows, and adapt to changing needs.

Nice To Haves

• Experience in educational assessment or testing.

Responsibilities

• Troubleshoot, debug, and maintain psychometric programs and statistical analysis processes.
• Develop and monitor quality control processes to ensure accurate and reliable data.
• Work with diverse data structures, databases, and large datasets containing one million or more records.
• Develop and maintain code, templates, and configurations for psychometric software such as WINSTEPS and MULTILOG.
• Coordinate data analysis and data transfers across multiple projects and teams.
• Improve data processing workflows, resolve issues, and streamline processes.
• Lead or support data analysis for standard-setting and data review meetings.
• Train and mentor colleagues on programming, data processing, troubleshooting, and quality control.
• Communicate technical information and analysis results to technical and non-technical audiences.
• Support project planning, resource coordination, and process documentation.
• Lead data analysis projects and serve as a technical resource.
• Manage software development lifecycle activities, including development, testing, validation, and implementation.

Benefits

• Eligible to participate in an annual incentive program.
• Benefits are referenced through Pearson’s benefits website, but specific benefits are not listed in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior