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Senior Data Scientist - Cybersecurity (IAM)

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The role

Ingest and prepare IAM telemetry (ForgeRock AM/DS, SAML, OpenID Connect, OAuth 2.0, MFA, sessions) for analysis and modeling.
Develop and evaluate baseline models for anomaly detection, UEBA, and risk scoring, using clear evaluation metrics like precision, recall, and ROC-AUC.
Perform focused exploratory data analysis (EDA) and run A/B tests to optimize MFA steps and adaptive journeys for security and UX.
Engineer reusable features and ensure reproducibility (notebooks, versioned datasets, lightweight data docs); package analyses/models for production (Docker/VMs) and contribute to CI/CD with safe rollouts (canary).
Establish basic data/model monitoring and dashboards; collaborate with IAM engineers to translate insights into policy/rule changes and assess impact on SLAs.
Explore agentic AI in a human‑in‑the‑loop framework with audit trails and guardrails, while maintaining privacy-by-design and regulatory compliance; document results for diverse stakeholders.

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