Data Scientist
Fraud Detection Research
- LocationBengaluru, Karnataka, India
- TypeFull-time
- Experience2+ years required
- SalaryNot disclosed
Python, SQL, Sagemaker, Redshift, Deep Learning, MATLAB, Machine Learning, Generative AI, Perl, Algorithms
Overview
This role involves developing advanced fraud detection systems for Amazon Ads, working with massive datasets and cutting-edge machine learning techniques. The work has a direct impact on protecting advertiser investments and maintaining user trust.
Summarised by InternDoor from Amazon’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.
Responsibilities
- Analyze billions of ad events to detect invalid traffic patterns
- Use deep learning and generative models on AWS cloud platforms
- Publish research in top-tier conferences and journals
Requirements
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Nice to have
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How to apply
- Check what they ask for. Read the requirements above: Amazon asks for 2+ years.
- Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
- Apply on Amazon’s careers site. The application is on amazon.jobs, not on InternDoor. We never ask for a fee.
Apply soon: postings like this can close without notice, and this one states no deadline.
Application details
- Posted
- , on LinkedIn
- First seen by InternDoor
- , within 25 minutes of being posted
- Last checked
- : the posting was still taking applications.
- Application deadline
- Amazon has not stated one
- Leaves InternDoor
- By , our 30-day limit for LinkedIn listings, or sooner if the application closes
- Application page
- amazon.jobs
What we checked, and what the dates mean
The date this listing leaves InternDoor is our own rule, not a deadline set by Amazon. Postings can close earlier, at any time.
What “last checked” means: our checker read the posting itself and found it still open on that day.
InternDoor has recorded 148 engineering postings from Amazon in India since Aug 2026.
When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.
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