Data Scientist, Amazon Ads Traffic Quality (Ad Fraud Detection), Bengaluru
Job Description
Amazon Ads is hiring a data scientist in ad fraud detection for its Traffic Quality team in Bengaluru. The team detects sophisticated invalid traffic, such as bots, bot networks and fraudulent engagement, across billions of ad events a day, using deep learning, generative modelling, anomaly detection and time-series methods. The posting’s description refers to the level as Data Scientist II.
At a glance
- Role: Data Scientist, Traffic Quality (Amazon Ads)
- Location: Bengaluru, Karnataka, India
- Posted: 10 September 2026
- Experience: 2+ years as a data or research scientist, statistician or quant analyst with large internet data
- Job ID: 10535807
- Apply: open until filled (re-checked 13 October 2026)
About the ad fraud detection data scientist role
- Define and frame new research problems in ad fraud detection where neither the problem nor the solution is clear
- Apply new ML models and algorithms to detect sophisticated invalid traffic
- Analyse large, unstructured datasets to build insight before modelling
- Write research reports to the standard of top external publications
- Mentor junior scientists
- Work with Amazon cloud tools such as EC2, S3, EMR, SageMaker and Redshift
What Amazon is looking for
- 1+ years with SQL, Python or statistical software such as R, SAS or Matlab
- 2+ years as a data or research scientist, statistician or quantitative analyst in an internet company with complex, large data
- 1+ years of creating or contributing to research papers, textbooks or educational content
- A master’s degree in a STEM field, or equivalent STEM experience
Nice to have
- A PhD in a STEM field
- Hadoop, Spark or Hive experience
- Experience evaluating AI systems
- Clear written and verbal communication
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Bengaluru, India.
How to apply
Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Adversarial settings: think about how fraudsters adapt and how you would keep a detector from going stale.
- Sparse labels: revise weak supervision, positive-unlabelled learning and anomaly detection for rare fraud.
- Sequence models: the team has published on generative pre-training of ad-activity sequences; read about user-sequence modelling.
- Precision under latency: be ready to discuss trade-offs when decisions must be made in milliseconds.
- Leadership Principles: prepare STAR stories.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai and Gurugram. Applied scientists work on machine learning problems across retail, logistics, advertising, devices and cloud services.
