Security Data Science Manager

Amazon Inc.; Seattle (WA); Hybride; USD 175 000 - 237 000; Plein temps

Résumé du poste

Amazon.com Services LLC in Seattle is seeking a Data Science Manager for Security Compliance Engineering, Stores Security. You will lead a combined data science and data engineering team to measure and improve how security controls perform at scale, turning data into actionable guidance for developers and product teams.

You will set vision, build trusted data foundations, shape the strategy and culture, and grow engineers and scientists.

Qualifications

• 5+ years building quantitative solutions as a scientist or science manager
• 2+ years of scientists or machine learning engineers management experience
• 5+ years applying statistical models for large-scale applications and building automated analytical systems

Responsabilités

• Set the strategy, roadmap, and technical direction for a combined data science and data engineering team, turning an ambiguous security mission into clear, prioritized work.
• Own how we measure embedded security: build metrics, experiments, and analysis showing guidance accuracy and adoption.
• Lead the data science behind risk identification and feedback loops to surface real risk across a large portfolio.
• Determine the right mix of science, data engineering, and BI resources and lead senior contributors across both science and engineering.
• Hold the bar on quality and delivery; invest in trusted data foundations and reproducible research.
• Grow the team and manage ambiguity to expand scope and elevate with good judgement.

Connaissances

Data Science

Leadership

Machine Learning

Python/R

Formation

PhD in computer science, mathematics, statistics, machine learning or equivalent

Outils

Python

R

SQL

Description du poste

Amazon.com Services LLC in Seattle is seeking a Data Science Manager for Security Compliance Engineering, Stores Security. You will lead a combined data science and data engineering team to measure and improve how security controls perform at scale, turning data into actionable guidance for developers and product teams.

You will set vision, build trusted data foundations, shape the strategy and culture, and grow engineers and scientists.