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Learning Scientist

Job in Northbrook, Cook County, Illinois, 60065, USA
Listing for: Savvas Learning
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below

Position Overview

We are looking for an experienced learning scientist to join our Learning Analytics team. This individual will provide leadership in educational measurement, psychometrics, and statistical modeling. He/she will be responsible for ensuring that Savvas assessments meet standards for validity, reliability, and fairness, and conduct activities that enhance the psychometric quality of current and future K‑12 educational products.

Responsibilities
  • Use various types of psychometric models (classical, IRT) to analyze large‑scale assessment data.
  • Perform psychometric analysis (item and test analysis, calibration, equating, and scaling).
  • Perform tasks such as cleaning data, managing data sets, and running descriptive and inferential statistics.
  • Propose detailed research designs and ideas for operational procedures for item and assessment monitoring.
  • Provide guidance and direction to cross‑functional team members, including learning scientists and data scientists.
  • Show a desire and ability to learn new technologies and techniques and share knowledge in a small‑team, agile environment.
  • Represent the organization’s position on technical and measurement issues with clients, external partners, and conferences.
  • Design, develop, and document technical and operational procedures and guidelines.
  • Ensure the Technical Manual is current and reflects industry best practice.
  • Act as psychometric subject‑matter expert in support of proposals and business development opportunities.
Qualifications
  • Doctoral degree, or equivalent, in educational measurement, psychometrics, statistics, or other closely‑related field.
  • Advanced knowledge of educational measurement, psychometrics (computer adaptive), and statistical modeling (knowledge of Bayesian statistics preferred).
  • At least 5 years of experience with quantitative analysis and coding in R.
  • At least 5 years of experience applying classical and IRT psychometric models, such as item and test analysis, calibration, equating, scoring, and scaling.
  • At least 5 years of experience writing technical reports, including results of quantitative analyses.
  • Experience managing multiple priorities and deadlines, including adapting in response to changes in work priorities and processes, as evidenced in application materials.
  • Communicate predictions and findings to the leadership team through effective data visualizations and reports.
Skills
  • At least 5 years of experience with quantitative analysis in multiple IRT and other statistical software (e.g., IRTPro, flex

    MIRT, R, SPSS, SAS).
  • Experience writing data cleaning, statistical analysis, and psychometric evaluation code in R.
  • Knowledge and experience in SQL.
  • Ability to adapt to change and navigate ambiguity in a fast‑paced environment.
  • Effective written and oral communication skills.
  • Experience communicating quantitative information to technical and non‑technical audiences.
  • Detail‑oriented with excellent organizational skills.
Equal Opportunity Employer

Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. Learn more about your EEO rights as an applicant.

Savvas Learning is an affirmative action employer and participates in E‑Verify. Know Your Rights.

Notice to California Applicants:
Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to Savvas' California Applicant Privacy Notice.

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