Director, Psychometric Operations & Data Science
Tasks
- Apply responsible data practices
- Communicate data quality issues to technical and non technical stakeholders
- Define requirements for automation dashboards and pipelines
- Develop scripts queries and validation routines
- Execute item analysis calibration scoring validation
- Identify and reduce manual file based error prone processes
- Improve psychometric data workflows
- Maintain documentation version control traceability reproducibility
- Manage scoring cycles
- Mentor reproducible data practices and QA routines
- Perform root cause analysis for scoring irregularities
- Promote consistent data definitions and decision logs
- Represent R and M in cross functional scoring and reporting discussions
- Run statistical and data validation checks
- Standardize data inputs outputs file formats naming and handoffs
- Support equating and form processes
- Translate psychometric requirements into operational steps and QA checks
Perks/Benefits
Skills/Tech-stack
Automation | Calibration | Cause analysis | Classical Test Theory | Dashboarding | Data Quality | Data Validation | Data pipeline | Data quality assurance | Educational measurement | Equating | Form development | Item Response Theory | Item analysis | Psychometrics | Python | Quality Assurance | R | Response Theory | Root Cause Analysis | Root cause | SQL | Scaling | Scoring Rules | Statistical Analysis | Test Theory | Version control
Education
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