Senior Applied Scientist , Buyer Risk Prevention (BRP)

Amazon is hiring a Senior Applied Scientist , Buyer Risk Prevention (BRP) in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this applied scientist role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include TensorFlow, scikit-learn and Python.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Define scientific strategy and lead development of large-scale machine learning systems for fraud and risk prevention as a Senior Applied Scientist.

TensorFlowscikit-learnPythonJavaCSparkHadoopMxnet

machine-learningdeep-learningfraud-detectionrisk-managementgenerative-ai

Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience?

Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation?

If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you.

We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms.

Key job responsibilities
Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives

Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders

Design, develop, and deploy highly scalable machine learning systems in real-time production environments

Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation

Influence system architecture and partner with engineering teams to ensure robust, scalable implementations

Establish best practices for experimentation, model validation, monitoring, and lifecycle management

Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership

Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders

Identify emerging scientific trends and translate them into impactful production solutions

Basic qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 5+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Applied Scientist , Buyer Risk Prevention (BRP) at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Applied Scientist , Buyer Risk Prevention (BRP) is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, KA, Bengaluru.
The job was posted on September 8, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningDeep learningFraud DetectionRisk ManagementGenerative AITensorFlowscikit-learnPython

Also common in applied scientist jobs at this level

NLP Reinforcement learning AWS Computer vision PyTorch Fine-tuning

Pay

Typical applied scientist job: $167k

This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where fraud detection was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Deep learning, Fraud Detection, Risk Management, and Generative AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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