Amazon

DESCRIPTION

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage risk models (including boosted trees and graph neural networks) as well as vision and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI.

This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas.

Key job responsibilities

• Explore and evaluate state-of-the-art algorithms and approaches in risk modeling and vision/language models
• Translate product and CX requirements into measurable science problems and metrics.
• Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact
• Evaluate model performance in production and refresh/implement necessary updates to maintain optimal system performance.

A day in the life

• Understanding customer problems, project timelines, and team/project mechanisms
• Proposing science formulations and brainstorming ideas with team to solve business problems
• Writing code, and running experiments with re-usable science libraries
• Reviewing labels and audit results with investigators and operations associates
• Sharing science results with science, product and tech partners and customers
• Contributing to team retrospectives for continuous improvements
• Participating in science research collaborations and attending study groups with scientists across Amazon

About the team

We are a team of scientists building AI/ML solutions to make Amazon Earth’s most trusted shopping destination for safe and compliant products.

BASIC QUALIFICATIONS

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment
• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

PREFERRED QUALIFICATIONS

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.