Senior Model Evaluation Analyst
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What you'll do
- Prepare and maintain versioned evaluation datasets, reference labels, and test cases with documented provenance and representative coverage of coding categories.
- Execute evaluation methods established with the Senior Data Scientist and calculate accuracy, joint coding rates, coverage, and results against agreed error thresholds.
- Compare candidate models and coding methods with approved baselines; identify material category-level regressions that aggregate results may conceal.
- Analyze difficult, ambiguous, and underrepresented cases; assemble examples for SME adjudication and track decisions and label corrections.
- Develop repeatable Python or SQL analyses and evaluation checks, preserving the data, code, prompt, model, and configuration versions behind each result.
- Maintain test evidence, review-comment disposition, and traceability from requirements and acceptance criteria to evaluated results and deliverables.
- Prepare clear performance reports, tables, and briefings that explain findings and limitations; support pilot assessments, release reviews, and ongoing monitoring.
What they're looking for
- Bachelor's degree in statistics, data science, mathematics, computer science, or a related field, or equivalent relevant professional experience.
- 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.
- Strong Python and SQL skills for preparing datasets, automating analyses, calculating metrics, and producing reproducible reports.
- Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.
- Ability to investigate discrepancies independently, document evidence precisely, and explain findings to technical staff and business or domain experts.
Nice to have
- Experience evaluating LLM outputs, survey write-in coding, or detailed industry, occupation, and demographic classifications.
- Experience with annotation or adjudication workflows, federal statistical data, and controlled environments for sensitive information.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Ignite IT Hub is seeking a senior Model Evaluation Analyst to assess the accuracy and reliability of the U.S. Census Bureau's LLM Autocoder. You will maintain evaluation datasets, run comparisons, investigate coding errors, and produce evidence for Government review. Working with the contract’s Data Scientist and Government subject matter experts (SMEs), you will evaluate enhancements for the American Community Survey (ACS) and expansion to other surveys and fields.
Responsibilities
• Prepare and maintain versioned evaluation datasets, reference labels, and test cases with documented provenance and representative coverage of coding categories.
• Execute evaluation methods established with the Senior Data Scientist and calculate accuracy, joint coding rates, coverage, and results against agreed error thresholds.
• Compare candidate models and coding methods with approved baselines; identify material category-level regressions that aggregate results may conceal.
• Analyze difficult, ambiguous, and underrepresented cases; assemble examples for SME adjudication and track decisions and label corrections.
• Develop repeatable Python or SQL analyses and evaluation checks, preserving the data, code, prompt, model, and configuration versions behind each result.
• Maintain test evidence, review-comment disposition, and traceability from requirements and acceptance criteria to evaluated results and deliverables.
• Prepare clear performance reports, tables, and briefings that explain findings and limitations; support pilot assessments, release reviews, and ongoing monitoring.
Requirements
Required qualifications
• Bachelor's degree in statistics, data science, mathematics, computer science, or a related field, or equivalent relevant professional experience.
• 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.
• Strong Python and SQL skills for preparing datasets, automating analyses, calculating metrics, and producing reproducible reports.
• Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.
• Ability to investigate discrepancies independently, document evidence precisely, and explain findings to technical staff and business or domain experts.
Preferred qualifications
• Experience evaluating LLM outputs, survey write-in coding, or detailed industry, occupation, and demographic classifications.
• Experience with annotation or adjudication workflows, federal statistical data, and controlled environments for sensitive information.
Conditions of employment. Position contingent on contract award. Must be able to obtain and maintain applicable Census Special Sworn Status and Personal Identity Verification (PIV) credentials, follow confidentiality requirements, and support Census core business hours and coordinated critical processing runs.
Benefits
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Tuition reimbursement
- Vision insurance
Company
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