Data Scientist, IES CFX & Prime

Amazon; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Amazon in Bengaluru is seeking a data scientist to develop and deploy machine learning systems that protect the marketplace and enhance the customer experience. You will analyze millions of interactions daily and deploy models across 10 countries, directly influencing hundreds of millions of shoppers worldwide.

You will work with business partners, science and engineering teams to create end-to-end scalable ML solutions, validating models and communicating insights clearly for ongoing innovation.

Qualifications

• 3+ years of data querying languages (e.g. SQL) or statistical/mathematical software experience.
• 3+ years of data/research scientist, statistician or quantitative analyst experience in an internet environment with big data.
• 1+ years of contributing to textbooks, research papers, or educational content.

Responsibilities

• Use ML and statistical techniques to detect fraudulent behavior and marketplace manipulation.
• Innovate with GenAI to build automated solutions for customer promotions.
• Design, develop and deploy end-to-end ML solutions in production to delight customers.
• Collaborate with cross-functional teams to build scalable ML models across multiple countries.

Skills

SQL

Python

R

Education

Master's degree in STEM

PhD in STEM

Tools

SPSS

SAS

S-PLUS

Job description

Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world’s largest online marketplaces? Do you want to be at the forefront of developing innovative solutions that improve Amazon’s customers experience? Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions?

If yes, we invite you to join the Amazon Customer Fulfillment & Prime analytics team. We’re seeking an exceptional scientist who can revolutionize how we delight our customers. As a key member of our team, you’ll develop and deploy machine learning systems that analyze millions of customer interactions daily, ensuring state of art experience for customers across 10 countries. Your work will directly impact the shopping experience for hundreds of millions of customers worldwide.

Key job responsibilities

• Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent customer behavior, rings of accounts, identity change, holistic customer risk and marketplace manipulation schemes
• Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions
• Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to delight Amazon customers
• Collaborate with cross-functional teams to develop comprehensive ML/statistical models that can scale to millions of customers and 10+ countries

About the team

You’ll be working closely with business partners, science and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team’s success.

Basic Qualifications

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ 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)

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
• Experience working with or evaluating AI systems
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

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.

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