Senior Applied Scientist, Amazon WWOS Tech (Theft and Fraud Detection in Operations), Bengaluru
Job Description
Amazon’s WWOS Tech team in Bengaluru is hiring a senior applied scientist in theft and fraud detection for its global supply chain and operations. The team detects theft, fraud and organised crime affecting inventory worth billions of dollars, and builds self-learning systems that reduce losses.
At a glance
- Role: Senior Applied Scientist, WWOS Tech
- Location: Bengaluru, Karnataka, India
- Posted: 10 September 2026
- Experience: 3+ years building ML models for business use; PhD, or a master’s degree plus 6+ years of applied research
- Job ID: 10535900
- Apply: open until filled (re-checked 13 October 2026)
About the theft and fraud detection science role
- Own KPIs that measure how well theft and fraud are managed
- Detect and automate the discovery of theft and fraud patterns
- Find organised crime rings and clusters of bad actors
- Evaluate operational defects, system gaps and scaling problems end to end
- Contribute to fraud-management and product strategy, and present to leadership
- Integrate detection models into software applications
What Amazon is looking for
- 3+ years building ML models for business applications
- A PhD, or a master’s degree and 6+ years of applied research
- Programming in Java, C++, Python or similar
- Experience with deep learning and machine learning
Nice to have
- Modelling tools such as scikit-learn, Spark MLlib, TensorFlow, NumPy or SciPy
- Large distributed systems such as Hadoop or Spark
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.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Graph methods: revise community detection and graph neural networks for finding rings of related bad actors.
- Imbalanced data: prepare to discuss evaluation when confirmed theft cases are rare and delayed.
- Operations context: think about signals from warehouses and transport that could reveal loss.
- Influence: the posting stresses using data to change how the organisation works; bring examples.
- Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.
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.
