Scientist II

Cambium Learning Group

35d • Remote

About The Position

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 the automated scoring of student responses for both summative and interim assessments, automated feedback for formative assessments, and automated alerting of disturbing content in student responses. Our team uses state-of-the-art deep learning tools and models different modalities (e.g., speech, text) and is responsible for both prototyping and deploying engines and models. While scientists on the team often develop deep expertise within specific programs or clients for automated scoring, this position emphasizes a cross-program perspective. This position will help maintain coherence and consistency across all programs. The role balances scientific analysis with program-level coordination to strengthen consistency and scalability across CAI’s automated scoring system.

Requirements

• Ph.D. in psychometrics/measurement, NLP, or statistics or related field; or Master’s degree with equivalent applied experience.
• Demonstrated experience with program management or research–practice partnerships.
• 2+ years working with teams of software developers, NLP scientists, and/or data scientists.
• Experience in working with client-facing work, including presentations.

Nice To Haves

• Experience in k-12 assessment highly preferred.

Responsibilities

• 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.
• Partner with clients to explain the scoring process and support informed decision-making.
• Own cross-program oversight for Autoscore, maintaining an integrated view across states and administrations to ensure coherence.
• Drive internal scientific program execution, coordinating calibration, validation, retraining, and monitoring workflows in alignment with administration timelines.
• Identify, escalate, and track resolution of scoring risks across programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree