Role Description
As a Scientist II at Cambium Assessment (CAI), you will play an integral part of our machine learning team, which consists of mathematicians, data scientists, psychometricians, linguists, and software engineers. Our team focuses on natural language applications in educational measurement, with key foci in:
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Automated scoring of student responses for both summative and interim assessments
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Automated feedback for formative assessments
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Automated alerting of disturbing content in student responses
This position will help maintain coherence and consistency across all programs, balancing scientific analysis with program-level coordination to strengthen consistency and scalability across CAI’s automated scoring system.
Job Responsibilities
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Design and implement studies to obtain, score, model, and analyze results for any of CAI’s current natural language applications, including automated scoring, crisis alert detection, and feedback.
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Partner with clients to explain the scoring process and support informed decision-making.
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Own cross-program oversight for Autoscore, maintaining an integrated view across states and administrations to ensure coherence.
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Drive internal scientific program execution, coordinating calibration, validation, retraining, and monitoring workflows in alignment with administration timelines.
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Identify, escalate, and track resolution of scoring risks across programs.
Qualifications
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Ph.D. in psychometrics/measurement, NLP, or statistics or related field; or Master’s degree with equivalent applied experience.
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Demonstrated experience with program management or research–practice partnerships.
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Experience in k-12 assessment highly preferred.
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2+ years working with teams of software developers, NLP scientists, and/or data scientists.
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Experience in working with client-facing work, including presentations.
Requirements
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Must work and reside within the US for this position.
Benefits
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An Equal Opportunity Employer
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We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences.
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All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.