Research Statistician II

The College Board

. Execute pretesting analyses for SAT Suite administrations, including data extraction, classical item analysis, and item response theory analysis .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $76,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical programming and data analysis, particularly using Python and R, while effectively managing complex projects and collaborating with cross-functional teams. Strong background in psychometrics and educational measurement, with a focus on delivering accurate and timely results.

Highest-signal resume keywords

Statistical ProgrammingData AnalysisPsychometricsPython ProficiencyR Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData ExtractionClassical Item AnalysisItem Response Theory AnalysisQuality ControlOperational Workflow ImprovementAI Tools UtilizationItem AnalysisCalibrationScaling

Soft Skills

Attention to DetailOrganizational SkillsTime ManagementClear CommunicationProblem-Solving

Tools & Technologies

PythonRSASMicrosoft OfficeAI-Enabled Data Workflows

Industry Keywords

Educational MeasurementStandardized TestingPsychometric OperationsStatistical ReportingCross-Functional Collaboration

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Execute pretesting analyses for SAT Suite administrations, including data extraction, classical item analysis, and item response theory analysis
Execute psychometric maintenance analyses on SAT Suite scores according to a defined cycle
Generate and quality-control statistical reports
Compile and quality-control assigned sections of client-facing technical analysis reports
Develop, maintain, and update data management and statistical analysis code for operational processes
Identify and implement improvements to operational workflows
Evaluate and adopt Python-based solutions and other tools to improve efficiency, scalability, and integration
Maintain documentation of processes, tools, and quality-control findings
Partner with psychometricians, test development, technology, and other cross-functional teams
Represent SPAR's analytical work in cross-functional discussions and project meetings
Manage work scope and status, identify blockers, and escalate issues appropriately

Requirements

What you’ll need

Bachelor's or graduate degree in statistics, mathematics, psychometrics, or a related quantitative field
5–7 years of relevant experience in statistical programming, data analysis, or psychometric operations in a production or operational setting
Proficiency in Python and R required; SAS a plus
Independent development and maintenance of complex projects in Python and R
Experience with Microsoft Office programs, especially Word and Excel
Ability or willingness to leverage AI tools, including large language models, code generation assistants, and AI-enabled data workflows
Ability to work independently and manage time-sensitive deliverables with urgency and accuracy
Strong attention to detail and record of delivering accurate, error-free work in high-stakes operational contexts
Ability to identify and flag issues early in a workflow
Experience with psychometrics, educational measurement, or the standardized testing industry required
Familiarity with item analysis, calibration, and scaling is a plus
Experience with other advanced statistical or psychometric software preferred
Excellent organizational and time management skills
Ability to manage multiple competing priorities and adjust sequencing when needed
Ability to travel 2–4 times per year to College Board offices or on behalf of College Board business
Clear and concise written and verbal communication skills
Authorization to work in the United States

Benefits

Comp & perks

Fully remote work option
Hybrid work option for candidates near College Board offices (Tuesday and Wednesday in office)
Occasional travel to meet in person for business purposes
Comprehensive compensation package
Location-adjusted salaries
Transparent conversations about compensation and benefits
Meaningful career and supportive team
Professional development through learning, feedback, and growth
AI-enabled tools and emerging technology exposure