Applied Scientist, FinAuto

Amazon; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Amazon in Bengaluru is seeking a Machine Learning scientist to build detection systems for fraudulent transactions and to deploy scalable models across financial operations. You will analyze vast transaction data, develop ML models, and collaborate with engineering teams to bring solutions to production.

The role emphasizes cross-functional mentorship and identifying new ML opportunities to solve business problems in a high-scale environment.

Qualifications

• Programming experience in Java, C++, Python or related languages.
• SQL and RDBMS experience (e.g., Oracle) or data warehouse knowledge.
• Experience implementing algorithms with existing toolkits and custom code is preferred.

Responsibilities

• Analyze large volumes of historical transaction data to extract insights and automate key processes.
• Develop machine learning and statistical models for detecting fraudulent and abusive transactions.
• Create scalable solutions using data mining, statistical analysis and ML techniques.
• Partner with engineering and business teams to put models into production.
• Mentor other scientists and engineers on ML applications.

Skills

Java

Python

C++

SQL

Data mining

Machine learning

Tools

Oracle

Job description

About the role:

• - Build machine learning systems to detect and prevent fraudulent, abusive and wasteful financial transactions at scale
• - Work on financial systems processing billions of dollars in transactions daily across Amazon's operations
• - Research and deploy novel approaches to identify anomalies, theft, fraud and abuse in transaction data

What you'll do:

• - Analyze large volumes of Amazon's historical transaction data to extract insights and automate key processes
• - Develop machine learning and statistical models for detecting fraudulent and abusive transactions
• - Create scalable solutions using data mining, statistical analysis and machine learning techniques
• - Partner with engineering and business teams to put models into production
• - Mentor other scientists and engineers on machine learning applications
• - Identify new opportunities where machine learning can solve business problems

What they're looking for:

• - Programming experience in Java, C++, Python or related languages
• - SQL and RDBMS experience (e.g., Oracle) or data warehouse knowledge

Good to know:

• - Experience implementing algorithms with both existing toolkits and custom code is preferred
• - Publications at top-tier peer-reviewed conferences or journals is a plus