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Lead development of predictive models and analytics to prioritize vulnerabilities by contextual risk. Analyze large security telemetry, build ML/statistical models to remove scanning noise and false positives, and create unified data delivery and dashboards to enable data-driven security governance.

Perform hands-on DevSecOps/AppSec work: write Python scripts to integrate SAST/DAST/SCA into CI/CD pipelines, tune scanners to reduce false positives, deploy automated hardened baselines, and provide code-level remediation guidance for Java and Python teams.

Review, annotate, and classify large-scale job/resume datasets to standardized taxonomy guidelines. Standardize job titles, map occupations, validate metadata, clean data, and adapt content for regional English markets while following strict labeling rules and exercising independent judgment.

Lead development of predictive models and analytics to prioritize vulnerabilities by risk and business impact. Clean and analyze large-scale security telemetry, build ML/statistical models to reduce scanning noise and false positives, and create unified data delivery and dashboards to enable data-driven security governance.

Review, annotate, and classify large-scale job and resume datasets to standardize job titles, map occupations, validate metadata, and clean data per strict taxonomy guidelines. Adapt multilingual/localized content for regional relevance, identify patterns and inconsistencies, and follow labeling rules while exercising independent judgment.

Review, annotate, and classify large job and resume datasets to a strict taxonomy. Standardize job titles, map occupations, validate metadata, perform data cleanup, and adapt content for regional English markets while following labeling guidelines and exercising independent judgment.

Review, annotate, and classify large-scale job, resume, and skill datasets to strict taxonomy guidelines. Standardize job titles, map occupations, validate metadata, clean data, and adapt localized content across English markets while following labeling rules and exercising independent judgment on ambiguous cases.

Review, annotate, and classify large job and resume datasets to strict taxonomy guidelines; standardize job titles, map occupations, validate metadata, perform data cleanup, and adapt content for regional English markets while following labeling rules.

Review, annotate, and classify large-scale job, resume, and skill datasets to taxonomy guidelines; standardize job titles, map occupations, validate metadata, perform data cleanup, and adapt localized English content while following labeling rules and exercising independent judgment.

Review, annotate, and classify large-scale job and resume datasets to standardize job titles, map occupations, validate metadata, and perform data cleanup and localization according to strict taxonomy guidelines.