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 Security team.
Role type
Senior IC data scientist (cybersecurity/fraud)
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
Deep learning architectures, Python, PySpark, statistical modeling, data mining, big data technologies, end-to-end data pipeline design
Preferred skills
MLOps, graph analytics, cloud platforms (AWS, Azure, GCP), cybersecurity/fraud domain experience
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; mentor junior data scientists
Seniority
Senior, hands-on IC
