Data Science Manager, Security Compliance Engineering, Stores Security
Core
Lead a data science and data engineering team to measure the efficacy of embedded security guidance, identify real risk across a massive portfolio, and build feedback loops that make security controls smarter.
Role type
Senior IC data science manager (security compliance)
Builds
Measurable security guidance models, risk identification systems, and feedback loops for embedded security
Domain
Cybersecurity / Data Science / Risk Management
Deliverable
production ML models
Required skills
quantitative solution building, statistical modeling for large-scale applications, automated analytical systems, Python/R scripting, team leadership, strategy setting, metrics design, experiment design, data pipeline management, team growth
Preferred skills
Machine Learning (NLP, Regression, Classification, Clustering, Anomaly Detection), fairness in machine learning and AI
Technologies
Python, R
Responsibilities
Set strategy and technical direction for combined data science and engineering teams; build metrics and experiments to measure embedded security efficacy; lead data science for risk identification and feedback loops; determine resource mix across disciplines; hold quality bar on outputs; grow team and manage ambiguity
Seniority
Senior, hands-on IC with management