Applied Scientist I, Buyer Risk Prevention (BRP)

Amazon is hiring an Applied Scientist I, 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.
The posting mentions Python, Java and C among its tools and skills.
Level classes it as a junior role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Build and evaluate machine learning models and generative AI systems to prevent buyer fraud and risk at Amazon.

PythonJavaCSQL

machine-learningdeep-learninggenerative-aillmsstatisticsrisk-management

Do you want to join an innovative team applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience?

Are you excited about working with large-scale datasets and developing models that solve real-world fraud and risk challenges?

If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day.

In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies.

Key job responsibilities
Apply machine learning and statistical techniques to build and improve risk management models

Analyze large-scale historical data to identify risk patterns and emerging trends

Develop, validate, and deploy innovative models under the guidance of senior scientists

Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation

Collaborate closely with software engineers to implement models in real-time production systems

Partner with operations and business teams to improve risk policies and operational efficiency

Build scalable, automated pipelines for data analysis, model training, and validation

Monitor model performance and provide clear reporting on key risk and business metrics

Research and prototype new modeling approaches to improve system performance

Basic qualifications

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred qualifications

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

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

Applied Scientist I, 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

Applied Scientist I, 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 November 11, 2026.
Seniority: junior.
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 learningGenerative AILLMsStatisticsRisk ManagementPythonJava

Also common in applied scientist jobs at this level

Deep learning NLP Reinforcement learning TensorFlow Spark Computer vision

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 generative ai was part of your work. What did you do?
Tell me about a project where llms was part of your work. What did you do?
Tell me about a project where statistics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Deep learning, Generative AI, LLMs, and Statistics. 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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