Fast Facts

Join Savvas as a Learning Scientist, leading the charge in educational measurement and psychometrics to enhance K-12 assessments' quality and integrity.

Responsibilities: Analyze large-scale assessment data using psychometric models, conduct item and test analysis, manage data sets, and collaborate with a cross-functional team.

Skills: Expertise in quantitative analysis, psychometric modeling, and proficiency in R and other statistical software; excellent communication skills are essential.

Qualifications: Doctoral degree in a relevant field, with at least 5 years of experience in psychometrics and statistical analysis required.

Location: This position is located in the United States, with no specified travel requirements.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $85,000 - $140,000.

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.

• ResponsibilitiesUse 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.
• Represents the organization’s position on technical and measurement issues with clients, external partners, and conferences.
• Designs, develops, and documents technical and operational procedures and guidelines. 
• Ensures the Technical Manual is current and reflects industry best practice. 
• Act as psychometric subject matter expert in support of proposals and business development opportunities. 
• QualificationsDoctoral 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.
• SkillsAt least 5 years of experience with quantitative analysis in multiple IRT and other statistical software (e.g., IRTPro, flexMIRT, R, SPSS, SAS).
• Experiencing writing data cleaning, statistical analysis, and psychometric evaluation code in R.
• Knowledge and experience in SQL.
• Ability to adapt to change and navigate ambiguity 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.