Senior Data Scientist

We’re seeking a Senior Data Scientist (Individual Contributor) to lead advanced data science initiatives in identity security and threat intelligence. You’ll build ML models and intelligent systems that detect anomalies, verify identities, and respond to threats in real time—contributing directly to the evolution of our product suite.

Key Responsibilities:

• Design and implement machine learning models for identity verification, risk scoring, behavioural analytics, and fraud detection.
• Work with cyber threat intelligence (CTI) data to extract IOCs (Indicators of Compromise), identify attack patterns, and enhance risk-based decisioning.
• Analyse structured and unstructured data from logs, user behaviour, biometric signals, and external threat feeds.
• Collaborate with product, engineering, and security research teams to build real-time, scalable, and explainable AI features.
• Develop anomaly detection models for behavioural deviations and insider threat monitoring.
• Integrate outputs with SOC, SIEM, and SOAR platforms for automated threat response.
• Stay current with advances in ML, cybersecurity, and threat intel—translating insights into new features and enhancements.

Tools & Technologies:

• Languages & Frameworks: Python, R, Scikit-learn, PyTorch, TensorFlow, XGBoost
• ML & MLOps Tools: SageMaker, Vertex AI, MLflow, DVC, Airflow, Docker, Kubernetes
• Data & Analytics Tools: Spark, Kafka, Elasticsearch, Postgres, Neo4j
• Security Integration:
• Threat Intel Feeds (MISP, OpenCTI, STIX/TAXII)
• SIEM (Splunk, ELK), SOAR platforms
• IAM/PAM Systems (CyberArk, Okta, Azure AD)
• Optional Enhancements: OpenCV for biometrics, LangChain for LLM-powered insights, Graph-based access analytics.