Staff Data Scientist (Global Security)
Core
Lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber threats within the Global Cyber Security team.
Role type
Staff Data Scientist (Cybersecurity)
Builds
Production-scale ML models and data pipelines for fraud detection, cybersecurity, and data privacy.
Domain
Financial Services / Cybersecurity
Deliverable
production ML models
Required skills
Advanced machine learning (including deep learning), Python, PySpark, statistical modeling, big data technologies, data mining, end-to-end data pipeline design, project leadership, mentoring
Preferred skills
Cybersecurity/fraud domain experience, MLOps, graph analytics, cloud platforms (AWS, Azure, GCP)
Technologies
Python, PySpark, AWS, Azure, GCP
Responsibilities
Design and implement end-to-end data pipelines from cleaning to production code; lead complex data science projects from inception to completion; apply ML and statistical modeling to large datasets to discover new insights; collaborate with stakeholders to build solutions in fraud, cybersecurity, and data privacy; mentor junior data scientists.
Seniority
Staff, hands-on IC with mentorship responsibilities
