Cambium Learning Group Logo

Cambium Learning Group

Scientist II

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
As a Scientist II, you will design and implement studies for natural language applications, manage cross-program analysis, and ensure coherence in automated scoring systems.
The summary above was generated by AI

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K–2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.

Job Location: US, Remote. Must work and reside within the US for this position.

Job Overview:

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.

Job 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.

Job 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.

  • Experience in k-12 assessment highly preferred.

  • 2+ years working with teams of software developers, NLP scientists, and/or data scientists.

  • Experience in working with client-facing work, including presentations.

To apply for this opportunity, simply click on the “Apply” button and submit a cover letter and resume.

An Equal Opportunity Employer

We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. 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.

Top Skills

Deep Learning
Machine Learning
Natural Language Processing
Statistical Analysis

Similar Jobs

4 Days Ago
Remote
USA
83K-133K Annually
Mid level
83K-133K Annually
Mid level
Healthtech • Insurance
The Program Integrity Data Scientist II develops and deploys analyses for payment accuracy and fraud detection, collaborates with teams, and analyzes claims data for anomalies.
Top Skills: AWSAzureDatabricksGCPPower BIPythonRRat StatSASSnowflakesSQL
9 Days Ago
In-Office or Remote
Mid level
Mid level
Healthtech • Biotech
As a Research Data Scientist II, you will apply statistical and machine learning techniques, working with various programming languages and data to support data-driven decision-making in healthcare.
Top Skills: PythonRSASSpssSQL
9 Days Ago
In-Office or Remote
77K-126K Annually
Mid level
77K-126K Annually
Mid level
Energy
The role involves designing and maintaining data pipelines and analytical tools, conducting statistical modeling, and collaborating with teams on energy systems analysis.
Top Skills: AWSAzureDockerETLGCPHadoopKafkaKubernetesPythonSparkSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account