Senior Data Scientist, AWS Analytics Engineering

Role Overview

The AWS Analytics Engineering team is at the forefront of leveraging AI/ML technology and infrastructure to redefine how AWS product leaders and teams interact with and derive insights from their product and customer data. We are looking for a customer-focused Senior Data Scientist to develop and deliver science solutions for AWS services.

What You Will Do

You will build ML-driven product analytics for AWS Compute (EC2), GenAI & Agents, Database & Analytics, and Storage (S3). You will analyze product growth insights, understand product growth drivers, and identify business risks that need to be surfaced to leadership.

Why It Might Be a Fit

You will operate effectively in ambiguous environments, use sound business judgment, show high ownership and a deep understanding of the AWS business, and apply new data science methods at AWS scale.

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

Benefits

• Comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
• Registered Retirement Savings Plan (RRSP)
• Deferred Profit Sharing Plan (DPSP)
• Paid time off
• Other resources to improve health and well-being

Tagged as: Python, SQL