Senior Applied Scientist, Amazon Product Detail Page Optimisation, Bengaluru
Job Description
Amazon’s Product Detail Page team is hiring a senior applied scientist in Bengaluru to build the next generation of detail page optimisation algorithms. The team uses econometrics, machine learning and big data to help customers find the right products at the right prices from millions of sellers, and works across many Amazon businesses to improve the detail page, search page and other shopping widgets.
At a glance
- Role: Sr Applied Scientist, Product Detail Page
- Posted: 21 July 2026
- Focus: Detail page optimisation, econometrics, ML, experimentation
- Location: Bengaluru, Karnataka, India
- Job ID: 10480912
- Apply: open until filled (re-checked 13 October 2026)
About the detail page science role
- Build detail page optimisation algorithms that adapt to changing customer preferences
- Work with multiple Amazon businesses to find large opportunities
- Propose new features and technical systems for the detail page, search page and widgets
- Use econometric, ML and big-data methods at very large scale
What Amazon is looking for
- At least 6 years of building machine learning models for business applications
- A PhD or a master’s degree
- Programming in Java, C++, Python or a related language
- Neural deep learning and machine learning
- Patents or publications at top peer-reviewed venues
- Experience in algorithms and data structures, parsing, numerical optimisation, data mining, or parallel, distributed or high-performance computing
Nice to have
- Large-scale distributed systems such as Hadoop and Spark
- Research in a corporate setting
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.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Econometrics plus ML: show causal inference alongside predictive modelling.
- Experiments: be ready to discuss A/B testing at scale and interference between widgets.
- Customer focus: think about what a better detail page means for shoppers.
- Publications: list patents or papers prominently.
- 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, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.
