Data Scientist II

Data Scientist II - Global Corporate Procurement (GCP)

Ready to Transform Amazon's Procurement Systems?

We are seeking a talented Data Scientist to join our Greenfield initiative and build the next generation of procurement applications from the ground up. This role offers a unique opportunity to develop data-driven systems leveraging AI/ML services, modern statistical modeling techniques, and generative AI capabilities.

You'll design, develop, and deploy scalable machine learning models and data pipelines that power Amazon's procurement ecosystem. Your work will directly impact the daily experience of Amazonians as they procure goods and services across our global operations.

Key Responsibilities:
- Use advanced data analyses and statistical techniques to improve customer experience and guide business decision making.
- Identify predictors for business problems and implement novel approaches related to forecasting and prediction.
- Manage end-to-end analytical solutions from conception through production deployment using agile methodologies.
- Collaborate with product managers, UX designers, engineers, and cross-functional partners to translate complex requirements into elegant data-driven solutions using NLP and AI/ML techniques.

Basic Qualifications:
- 2+ years of experience as a Data Scientist.
- 3+ years of proficiency with SQL, Python/R/SAS/Matlab for scripting and statistical analysis.
- Expertise in machine learning/statistical modeling tools and understanding parameters affecting performance.
- Experience guiding/coaching researchers (1+ year).
- Prior experience evaluating AI systems or creating mathematical research content.
- Master's degree in STEM field.

Preferred Qualifications:
- Ph.D. in a relevant STEM discipline.
- Deep knowledge of ML concepts applied to reasoning and problem-solving.
- Experience defining benchmarks for assessing GenAI model performance.
- Strong communication skills to effectively convey complex quantitative analysis.