Applied Scientist II, FinAuto
Amazon is seeking an Applied Scientist for the FinAuto team in Bengaluru to build machine learning solutions for preventing financial fraud and abuse. The role involves analyzing massive transaction datasets to develop statistical models, anomaly detection algorithms, and scalable production-grade ML systems. You will collaborate with engineering teams to deploy models and mentor junior scientists. This position requires strong proficiency in programming languages like Java or Python and expertise in data mining or distributed systems.
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Experience
3+ years
Function
Research
Work mode
Onsite, India
Company
Tier 1
What you will work on
Amazon is seeking an Applied Scientist for the FinAuto team in Bengaluru to build machine learning solutions for preventing financial fraud and abuse. The role involves analyzing massive transaction datasets to develop statistical models, anomaly detection algorithms, and scalable production-grade ML systems. You will collaborate with engineering teams to deploy models and mentor junior scientists. This position requires strong proficiency in programming languages like Java or Python and expertise in data mining or distributed systems.
TAL's take
Tier-1 company with clear ownership of high-impact fraud detection systems at massive scale.
Crisp JD outlining specific ML applications for fraud detection with clear stakeholder context and technical requirements.
Salaries at Amazon
25.8 LPA average
Based on 3,341 Grapevine salary entries for Amazon.
Research
0 - 2 years | L3
5 LPA average
Range: 5 - 5 LPA
Research
2 - 4 years | L4
52 LPA average
Range: 36 - 60 LPA
Research
4 - 6 years | L5
15 LPA average
Range: 15 - 15 LPA
Research
6 - 8 years | L4
41 LPA average
Range: 24 - 60 LPA
Must haves
- PhD or Master's degree in CS, CE, ML or related field
- 3+ years of relevant experience
- Programming proficiency in Java, C++, or Python
- Experience in algorithms, data mining, or distributed computing
Tools and skills
Nice to have: deep learning, computer vision.
About the company
Global tech giant and FAANG member with a strong engineering presence in India.
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