Amazon Senior Data Scientist Endpoint Security 

Canada, Ontario, Old Toronto 

341087132

As a Senior Data Scientists, you lead science and Machine Learning investments to scale out endpoint security automation and Data Loss Prevention controls for endpoint devices. You will innovate in driving high degrees of accuracy, precision and recall in an ocean of data. You will partner closely with Data Engineers, Business Intelligence Engineers, and Software Engineers to build scalable solutions that must operate in real-time.Key job responsibilities
- You will extract insights and clarity from noisy, unstructured data arriving in high-volumes.
- You will scientifically test ways to find, measure and long-term solve potential security problems using endpoint telemetry both historical and in real-time.
- You will 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).A day in the life
You will work closely with security products, programs and engineering to generate and prioritize experiments, proofs-of-concepts, initiatives and shepherd/steer engineering deliverables. You will mature the practice of data science in application of security controls and automation. You will innovate to find statistical and Machine Learnign methods that can be practically deployed for real-time blocking or redaction of customer data.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life BalanceTraining and Career growth
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- 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

- 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