Asks for

The ad says“• 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.”
The ad says“• Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.”
The ad says“• Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.”
The ad says“• Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.”
The ad says“• 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.”
The ad says“• 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.”
The ad says“• 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.”
The ad says“• 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.”
The ad says“• Strong Python and SQL skills for preparing datasets, automating analyses, calculating metrics, and producing reproducible reports.”
The ad says“• 8+ years in quantitative analysis, data quality, or model validation, including 3+ years evaluating ML, NLP, or automated classification systems.”
The ad says“• Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.”
The ad says“• Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.”
The ad says“• Strong Python and SQL skills for preparing datasets, automating analyses, calculating metrics, and producing reproducible reports.”
The ad says“• Practical understanding of sampling, class imbalance, reference-label quality, data leakage, confusion matrices, and uncertainty in performance estimates.”

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

Asks for

Values