Pearson · 3 days ago

Associate Research Scientist

Little Rock, AR

Full-time

Remote

Entry, Mid Level

$85K/yr - $92K/yr

Maximize your interview chances

BooksDigital Media

Actively Hiring

Insider Connection @Pearson

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Provide customer-facing support and communications for automated scoring programs, addressing queries, and assisting with the administration of these programs.

Support the planning and execution of initiatives aimed at innovating and constantly improving Pearson's automated scoring technologies.

Conduct statistical and psychometric analyses associated with automated and human scoring under the Director of Automated Scoring.

Collaborate with internal teams and external clients to present technical information and research findings.

Engage in original research focusing on automated and human scoring, and present/publish in peer reviewed conferences/journals.

Contribute to the development and documentation of technical and operational procedures.

Stay informed about national and state trends in education and consider this information when conducting analysis work.

Uphold the principles defined by the Standards for Educational and Psychological Testing.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Doctoral degreeApplied psychometricsStatistical analysisSASRSPSSPythonWINSTEPSIRTProPARSCALEMPLUSMachine learningNatural language processingProject management

Required

Doctoral degree in educational measurement, psychometrics, statistics, or a related field. Candidates who are ABD (All But Dissertation) with a strong background and relevant experience will also be considered.

Strong analytical and problem-solving skills.

Familiarity with and ability to utilize applied psychometric techniques, including classical test theory, item response theory, test equating, scaling, linking, and standard setting.

Experience with software packages and programming languages commonly used in psychometric work (e.g., SAS, R, SPSS, Python, WINSTEPS, IRTPro, PARSCALE, MPLUS).

Curious and always learning habits of mind.

Strong team-oriented approach to work, with excellent interpersonal and communication skills, both oral and written.

Ability to work effectively as a member of a team in a collaborative environment.

Demonstrated ability to manage multiple tasks and projects simultaneously.