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Senior Data Scientist, Endpoint Security

1 month ago


Toronto, Ontario, Canada Amazon Development Centre Canada ULC Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at Amazon Development Centre Canada ULC. As a Senior Data Scientist, you will play a key role in helping us craft the future of how Amazonians access customer data.

Key Responsibilities
  • Extract insights and clarity from noisy, unstructured data arriving in high-volumes.
  • Scientifically test ways to find, measure and long-term solve potential security problems using endpoint telemetry both historical and in real-time.
  • Lead the charge in establishing new techniques to apply Machine Learning and statistical methods to real-time Data Loss Prevention controls that balance speed (microseconds to milliseconds for inference) with accuracy (we deal with billions a day).
About the Team

Our team is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

What We Offer
  • Flexible work hours and arrangements to support work-life harmony.
  • Ongoing DEI events and learning experiences to inspire curiosity and diversity of ideas.
  • Endless knowledge-sharing, training, and other career-advancing resources to help you develop into a better-rounded professional.
Requirements
  • 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
  • 4+ years of data scientist experience.
  • Experience with statistical models e.g. multinomial logistic regression.
Preferred Qualifications
  • 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience.
  • Experience managing data pipelines.
  • Experience as a leader and mentor on a data science team.