Applied Scientist, FinAuto: Scalable ML for Fraud

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Amazon is seeking a Machine Learning Scientist to build scalable financial systems that process billions of dollars in transactions. You will apply ML and statistics to detect anomaly, theft, fraud, abuse, and waste in highly distributed architectures and productionize models with software engineers.

You will work with initiatives across transaction data, vendor payments, and taxes, driving state-of-the-art solutions in a fast-paced environment.

Qualifications

• Proficient in Java, C++, or Python with strong programming skills.
• Experience with SQL and relational databases or data warehouses.

Responsibilities

• Understand the business and identify actionable insights from large transaction data.
• Analyze Amazon’s historical data to automate and optimize key processes.
• Develop and apply ML/statistical methods for anomaly, fraud, abuse, and waste detection.
• Build scalable ML solutions and productionize models with engineering teams.
• Mentor peers in ML techniques and collaborate with cross-functional teams.

Skills

Java

Python

C++

SQL

Job description

Amazon is seeking a Machine Learning Scientist to build scalable financial systems that process billions of dollars in transactions. You will apply ML and statistics to detect anomaly, theft, fraud, abuse, and waste in highly distributed architectures and productionize models with software engineers.

You will work with initiatives across transaction data, vendor payments, and taxes, driving state-of-the-art solutions in a fast-paced environment.