Sr. Data Scientist, Amazon Pay Data Products

Amazon is hiring a Sr. Data Scientist, Amazon Pay Data Products in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, MLflow and SageMaker.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead end-to-end machine learning projects, build deep learning solutions, and drive Gen AI initiatives for Amazon Pay.

PyTorchMLflowSageMakerPythonAWS SageMakerDockerOptunaSQLR

ml-opsmachine-learningdeep-learningmlopsgenerative-aistatistical-modeling

Amazon Pay strives to be Earth’s most customer-centric payments service. Our mission is to serve customers and merchant partners with the most trusted, friction-less and rewarding payment solutions for their needs on and off Amazon.

We are seeking an exceptional Data Scientist III to drive innovation in machine learning and artificial intelligence solutions while leading high-impact initiatives across the organization.

Key job responsibilities
Technical Excellence

Lead end-to-end machine learning projects using PyTorch, AWS SageMaker, and other leading ML frameworks
Design and implement complex statistical models and deep learning solutions
Develop and optimize MLOps pipelines for model training, evaluation, and deployment
Experience with modern LLM frameworks and Generative AI applications
Expertise in Python, R, and related data science libraries
MLOps & Development

Build automated ML pipelines using AWS services (CodePipeline, Lambda, Step Functions)
Implement CI/CD practices for ML model deployment and monitoring
Create containerized solutions using Docker for scalable model deployment
Experience with model optimization and hyperparameter tuning using tools like Optuna
Integrate ML solutions with monitoring tools like MLflow
Business Impact & Leadership

Partner with stakeholders to translate business problems into technical solutions
Design and develop business intelligence applications for real-time insights
Lead technical initiatives and mentor junior data scientists
Drive cross-functional collaboration to deliver innovative solutions
Communicate complex technical concepts to non-technical audiences

About the team
The Amazon Pay Data Products team is a central unit that builds and maintains data products supporting Amazon Pay's growth across multiple markets. We operate at scale, processing 150M+ monthly transactions and managing 12 PB of data infrastructure.

Our team consists of Business Intelligence Engineers, Data Engineers, and Product Managers who develop and maintain standardized reporting, data marts, and self-service analytics tools. Our expanded capabilities cover data science and Gen AI wherein we have built our first suite of multi-agent systems.

Basic qualifications

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Track record of developing end-to-end ML solutions that drive business impact

Preferred qualifications

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines

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

Sr. Data Scientist, Amazon Pay Data Products 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

Sr. Data Scientist, Amazon Pay Data Products 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 19, 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

ML OpsMachine learningDeep learningMLOpsGenerative AIStatistical ModelingPyTorchMLflow

Also common in data scientist jobs at this level

Spark NLP TensorFlow RAG scikit-learn Azure

Pay

Typical data scientist job: $168k

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

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
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 mlops 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: ML Ops, Machine learning, Deep learning, MLOps, 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.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker