Data Scientist II, Data Scientist, IES CFX & Prime

Role overview

Data Scientist II, Data Scientist, IES CFX & Prime at Amazon

Responsibilities

• Collaborate with cross-functional teams to develop comprehensive ML/statistical models that scale to millions of customers across 10+ countries.
• 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.

Employment details

• Location: Bengaluru [Karnataka] [India]

Application details

• Apply 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.

About the employer

• Do you want to be at the forefront of developing innovative solutions that improve Amazon's customers experience?
• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl, or another scripting language - Experience in a 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Additional role details

• Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world's largest online marketplaces?
• 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
• Ability to work independently across the end-to-end ML lifecycle: feature engineering, modeling, and MLOps to productionize models.
• Strong foundation in machine learning and statistical modeling.
• Experience deploying ML solutions into a production environment.
• Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions.
• Willing to travel to Mexico (MX) and Brazil (BR).
• Comfortable working CET hours to maintain overlap with Mexico and Brazil business teams.
• 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.
• 6+ years of data scientist experience - 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 6+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 5+ years of working with or evaluating AI systems experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• 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.