Demo

Specialist, Measurement

Pearson
Hartford, CT Full Time
POSTED ON 10/25/2026
AVAILABLE BEFORE 11/22/2026

The Specialist, Measurement position described here is part of the Pearson Psychometric and Research Services group, which is part of the US School Assessment group and larger Assessment and Qualifications team. Pearson research scientists provide the full range of psychometric support to state and national customers, develop innovative techniques and processes, and conduct cutting-edge research studies.



Pearson Specialists provide data analysis support to Psychometricians to deliver large-scale custom assessment programs. Our Statistical Analysts are strong problem solvers who can leverage and extend existing analysis procedures to perform analysis tasks, are well-organized, and display the ability to collaborate. We are looking for candidates with strong technical and data analysis skills who are able to handle ambiguity and are looking for a challenge.



What You’ll Do



General Duties and 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.


  • Travel of approximately 5–10%


What You Bring



Education and Work Experience



  • 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 in educational assessment or testing is preferred.


Software Development and Programming



  • 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.


Additional Qualifications



  • 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.


Why Join Pearson?



At Pearson, you’ll contribute to assessment programs that help educators and institutions make informed decisions about learning and student achievement. You’ll work alongside experienced psychometricians, research scientists, and technical professionals to solve complex analytical challenges, improve data processing practices, and support the delivery of reliable, high-quality assessment results.



Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:



The minimum full-time salary range is between $100,000 - $120,000.



This position is eligible to participate in an annual incentive program, and information on benefits offered is here.



Applications will be accepted through Friday, Oct 30, 2026. This window may be extended depending on business needs.





Who we are:



At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.



Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.



If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.



Job: Research, Efficacy, and Psychometrics



Job Family: LEARNING&CONTENT_DEVELOPMENT



Organization: Assessment & Qualifications



Schedule: FULL_TIME



Workplace Type:



Req ID: 26423



#location

Salary : $100,000 - $120,000

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