Senior Applied Scientist, Japan Prime & Marketing

Amazon is hiring a Senior Applied Scientist, Japan Prime & Marketing in Tokyo, Japan. 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 TensorFlow, scikit-learn and Python among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Senior applied scientist leading machine learning solutions for personalization, customer growth, and optimization at Amazon Japan.

TensorFlowscikit-learnPythonMachine Learning FrameworksAWS

machine-learningcausal-inferencepersonalizationa-b-testing

The Japan Prime & Marketing team drives customer growth and engagement for Amazon Japan. Our applied science team combine advanced machine learning with deep business understanding to deliver experiences that delight customers and grow the Prime membership base in one of Amazon's most dynamic and competitive marketplaces.

We are seeking a Senior Applied Scientist to lead the science for personalization and customer growth initiatives across Japan Points, promotional campaigns, and Prime membership engagement. You will own end-to-end science solutions — from problem formulation and data analysis through model development, A/B testing, and production deployment — that directly impact millions of Japanese customers.

This is a high-visibility role where you will define the science roadmap, influence business strategy with data-driven insights, and collaborate with product, engineering, economics, and marketing teams across Japan and globally.

At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.

Key job responsibilities
- Define and execute the science roadmap for personalization, points optimization, promotions targeting, and customer growth within Japan Prime & Marketing
- Design and develop machine learning models for customer segmentation, lifetime value prediction, churn propensity, and next-best-action recommendation to drive Prime acquisition and retention
- Build optimization frameworks for Japan Points allocation, promotional offer targeting, and budget efficiency that maximize long-term customer value rather than short-term engagement
- Apply causal inference, experimentation design, and econometric methods to measure the incremental impact of points, promotions, and marketing interventions
- Develop personalization systems that tailor offers, messaging, and incentive structures to individual customer preferences and lifecycle stages
- Lead the design and analysis of large-scale A/B tests and quasi-experimental studies to validate model performance and business impact
- Collaborate with engineering teams to integrate models into production systems with millisecond-level latency requirements serving millions of daily active customers
- Influence senior leadership through clear communication of scientific findings, trade-offs, and strategic recommendations
- Mentor junior scientists and raise the scientific bar across the team through code reviews, design reviews, and knowledge sharing
- Contribute to the broader scientific community through internal and external publications at peer-reviewed venues

Basic qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

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.
- Have publications at top-tier peer-reviewed conferences or journals
- Experience with promotional strategy, loyalty programs, or pricing science
- Experience with causal inference, experimentation, or econometric methods

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, Japan Prime & Marketing 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, Japan Prime & Marketing is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in JP, 13, Tokyo.
The job was posted on June 10, 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 learningCausal InferencePersonalizationA B TestingTensorFlowscikit-learnPythonMachine Learning Frameworks

Also common in applied scientist jobs at this level

LLM NLP Reinforcement learning AWS Computer vision PyTorch

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 causal inference was part of your work. What did you do?
Tell me about a project where personalization was part of your work. What did you do?
Tell me about a project where a b testing was part of your work. What did you do?
Walk me through how you've used TensorFlow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Causal Inference, Personalization, A B Testing, and TensorFlow. 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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