Data Scientist, Amazon Business India

Amazon Business (AB) is a USD35B+ business spanning 10 countries (US, Germany, UK, France, Italy, Spain, Japan, Canada, India, and Mexico). Amazon Business (amazon.in/business) launched in India in September 2017 with the vision to be the destination for all businesses in India to find, discover, and buy for all their business needs, and it remains day 1 for us. Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable the B2B customer to find, research, and buy products and services from a vast selection across multiple devices, marketplaces, and regions. India's B2B market represents a ~$110B annual opportunity of indirect spends across 63MM businesses ranging from individual professionals to small businesses to large institutions. Our business customers have different needs than the traditional Amazon customer, and we are reinventing everything from how we display our selection, to how sellers price their products, and how we provide the right customer experience. We aim to make B2B procurement as seamless as consumer shopping by solving unique enterprise needs in vendor management, pricing, payments, and procurement workflows.

Role Overview

As a Data Scientist you will investigate business problems using data, invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Sample areas include moving customer acquisition more efficiently through different channels (search, socials), running personalization initiatives for B2B customers to decide on high-value actions such as credit and discounts, enabling more customers to access credit based on their online and offline history, and identifying high-trust customers.

Key job responsibilities Partner with business stakeholders to deeply understand AB business problems and frame ambiguous business problems as science problems and solutions. Perform data analysis and build data pipelines to drive business decisions. Invent novel science solutions, develop prototypes, and deploy production software to solve business problems. Review and guide science solutions across the team. Publish and socialize your and the team's research across Amazon and external avenues as appropriate. Leverage industry best practices to establish repeatable applied science practices, principles, and processes. Basic Qualifications 2+ years of data scientist experience. 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab) experience. 3+ years of machine learning/statistical modeling, data analysis tools and techniques, and parameters that affect their performance experience. 1+ year of guiding and coaching a group of researchers experience. 1+ year of working with or evaluating AI systems experience. Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM. Experience applying theoretical models in an applied environment. Preferred Qualifications Knowledge of machine learning concepts and their application to reasoning and problem-solving. Experience in Python, Perl, or another scripting language. Experience in an ML or data scientist role with a large technology company. Experience in defining and creating benchmarks for assessing GenAI model performance. Experience working on multi-team, cross-disciplinary projects. Experience applying quantitative analysis to solve business problems and making data-driven business decisions. Experience effectively communicating complex concepts through written and verbal communication.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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