Amazon

Data Scientist I, Featured Merchant Algorithm

Posted On

Feb. 16, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

March 10, 2026

Job Description

Do you ever struggle to explain your work? How's this: "Do you shop at Amazon? Do you know that box that says 'Add to Cart' and shows a price? Our team owns the model which picks that offer and the customer experience around the display of the offer price and the elements surrounding the 'Add to Cart' button which inform a purchase decision. We pick and display offers several billion times a day across all surfaces (mobile app, mobile web, desktop, Alexa shopping) worldwide." The mission of the Amazon Offers Experience organization is to be the world’s first and most trusted choice for every customer on earth to discover and evaluate any product or service.

Our team blends machine learning models to rank and select the best offer from the most trusted merchant for all products sold on Amazon along with a world-class front-end user experience for offer comparison to our global customers. We are responsible for the experiences and services that enable developers, including our own, to create tailored shopping experiences for every customer, product, business and marketplace offered by Amazon. We build scalable and extensible frameworks which allow for many teams at Amazon to innovate within the Offers Experience in a federated manner. If you are passionate about influencing and delivering the next-generation Amazon customer buying experience, we want to meet you.

We are looking for a Data Scientist to join one of the most impactful and visible teams in Amazon. In this role you will work with business stakeholders throughout Amazon and provide technical direction and business expertise to strategize and help launch new businesses and features for our customers. You will use data to justify customer friendly decisions and present customer and financial impact of the changes we make to our stakeholders. You will work closely with engineers, product managers, applied scientists, TPMs, managers, and senior leadership team to understand and drive business impact. Successful candidates will have experience working on multiple projects with different stakeholders, make data driven decisions, have strong communication skills to interact with executives, non-technical and technical individuals and have a high technical bar along with a passion for people and project management. This is an opportunity to work with a team that drives one of the most coveted real estate in the E-commerce, the Amazon ‘Buy Box’ on Amazon Product Detail Page, Amazon Search Page , multiple buying widgets etc. on the Amazon desktop, mobile and tablet environments.

Key job responsibilities
Today, millions of third party sellers offer products alongside Amazon Retail though the Amazon Marketplace and compete to be featured on the ‘Add to Cart’ button (aka the ‘Buy Box’) on Amazon’s most valuable retail real estate – the Product Detail Page referenced above. The Featured Merchant Algorithm (FMA) teams owns the Tier – I systems and Machine Learning algorithms that selects the offer to be featured on the Buy Box and on Amazon Search Pages. The team’s mission is to ensure that the featured offer provides the best possible customer value based on factors including price, availability, delivery options and customer service. The Amazon ‘Buy Box’ is arguably the most valued real estate in the E-commerce world and we are looking for strong leaders to continue innovating for this customer facing functionality. We are looking for a Data Scientist to join one of the most impactful and visible teams in Amazon. In this role you will work with business stakeholders throughout Amazon and provide technical direction and business expertise to strategize and help launch new businesses and features for our customers. You will use data to justify customer friendly decisions and present customer and financial impact of the changes we make to our stakeholders. You will work closely with engineers, product managers, applied scientists, TPMs, managers, and senior leadership team to understand and drive business impact- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

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