Amazon is seeking a candidate to identify, develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American transportation network. As a Data Scientist for the US Speed team, you will work with business, science and analytics teams across the company to build state of the art data products to improve delivery speed for our customers.
Requirements
- 2+ years of data scientist experience
- 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 machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
Responsibilities
- Research and use of statistical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key features and processes and build new data analysis products
- Work closely with scientists and engineering teams to create and deploy new features
- Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation.
- Evaluate cross-team perspectives, use quantitative methods to derive justification, and build consensus on a roadmap on the required level of analyses to meet goal
Other
- Identify, develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American transportation network.
- Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and lower cost of operations.
