Data Scientist

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

Are you passionate about building scalable solutions that significantly impact how Amazonians work? Join us in revolutionizing Amazon's procurement technology landscape by leveraging advanced analytics and machine learning. We are seeking a talented Data Scientist to help build the next generation of procurement applications from the ground up. This is a unique opportunity to work on 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 building modern, AI/ML-powered applications that transform Amazon's procurement systems. You will contribute to a greenfield initiative, creating innovative solutions that utilize machine learning, natural language processing, and predictive analytics to make procurement faster, smarter, and more intuitive for Amazonians globally.

This role offers a unique opportunity to develop data-driven systems by leveraging AI/ML services, modern statistical modeling techniques, and generative AI capabilities. You will collaborate closely with experienced data scientists, engineers, and cross-functional partners to deliver impactful solutions for Amazon's global workforce.

What You'll Do:

• Design, develop, and deploy scalable machine learning models and data pipelines that power Amazon's procurement ecosystem.
• Work in an agile environment, taking ownership of analytical solutions from conception through production deployment and contributing to technical decisions.
• Directly impact the daily experience of Amazonians by improving their procurement processes.
• Collaborate 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.
• Utilize data analysis and statistical techniques to improve customer experience and guide business decision-making.
• Identify predictors and causes of business-related problems, implementing novel approaches for forecasting and prediction.
• Identify, develop, manage, and execute analyses to uncover opportunities and present well-reasoned business recommendations.
• Lead quantitative analysis efforts and develop solutions adhering to the highest standards of analytical rigor and data integrity.
• Analyze and solve business problems at their root cause.

Basic Qualifications:

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

Preferred Qualifications:

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
• Knowledge of statistical packages and business intelligence tools (e.g., SPSS, SAS, S-PLUS, or R).
• Familiarity with 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.
• Proven experience applying quantitative analysis to solve business problems and making data-driven business decisions.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts.

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, 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.