Data Scientist

Transform Amazon's Procurement Systems with Advanced Analytics and Machine Learning

Are you passionate about building scalable solutions that significantly impact how Amazonians conduct their work? Join us in revolutionizing Amazon's procurement technology landscape through cutting-edge analytics and machine learning.

We are actively seeking a talented Data Scientist to play a pivotal role in constructing the next generation of procurement applications from the ground up. This is an exceptional opportunity to contribute to high-impact systems that integrate advanced search capabilities and AI-powered assistance.

About This Role

As a Data Scientist within the Global Corporate Procurement (GCP) Tech team, you will be instrumental in developing modern, AI/ML-powered applications designed to transform Amazon's procurement systems. You will be involved in a greenfield initiative, creating innovative solutions that leverage machine learning, natural language processing, and predictive analytics to make procurement processes faster, smarter, and more intuitive for Amazonians globally.

This role offers a unique chance to develop data-driven systems utilizing AI/ML services, sophisticated statistical modeling techniques, and generative AI capabilities. You will collaborate closely with experienced data scientists, engineers, and cross-functional partners to deliver solutions that will ultimately serve Amazon's worldwide workforce.

What You'll Do

• Design, develop, and deploy scalable machine learning models and data pipelines that power Amazon's procurement ecosystem.
• Operate within an agile environment, taking full ownership of analytical solutions from initial conception through production deployment, and contributing to key technical decisions alongside seasoned data scientists and engineers.
• Directly influence the daily experience of Amazonians as they procure goods and services.
• Collaborate effectively with product managers, UX designers, and fellow data scientists to translate complex business requirements into elegant, data-driven solutions using advanced analytics, NLP, and AI/ML techniques.

Key Responsibilities

• Utilize data analyses and statistical techniques to develop solutions that enhance customer experience and inform strategic business decisions.
• Identify the underlying predictors and causes of business-related challenges, implementing novel approaches for forecasting and prediction.
• Identify, develop, manage, and execute analyses to uncover areas of opportunity, presenting comprehensive written business recommendations.
• Act as a leader in quantitative analysis, collaborating with multiple teams to develop solutions that adhere to the highest standards of analytical rigor and data integrity.
• Analyze and resolve business problems at their fundamental root causes.

Basic Qualifications

• Minimum of 1 year of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• Minimum of 2 years of experience as a data/research scientist, statistician, or quantitative analyst in an internet-based company with complex and big data sources.
• Minimum of 1 year of experience creating or contributing to mathematical textbooks, research papers, or educational content.
• Master's degree in a Science, Technology, Engineering, or Mathematics (STEM) field, or equivalent practical experience in a STEM field.

Preferred Qualifications

• Ph.D. in a Science, Technology, Engineering, or Mathematics (STEM) field.
• Proficiency with statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R.
• Solid understanding of machine learning concepts and their practical application in reasoning and problem-solving.
• Experience with clustered data processing technologies like Hadoop, Spark, Map-reduce, and Hive.
• Experience working with or evaluating AI systems.
• Proven experience applying quantitative analysis to solve business problems and making data-driven business decisions.
• Demonstrated ability to effectively communicate complex concepts through both written and verbal communication.

Amazon is committed to fostering an inclusive culture that empowers its employees to deliver exceptional results for its customers. If you require workplace accommodations or adjustments during the application or hiring process due to a disability, including support for interviews or onboarding, please visit https://amazon.jobs/content/en/how-we-hire/accommodations. If your country/region is not listed, please contact your Recruiting Partner.