Data Scientist II, ROW AOP, Analytics Operations and Programs

The AOP (Analytics Operations and Programs) team is responsible for creating core analytics insight generation and science capabilities for ROW Ops. We develop scalable analytics applications AI/ML products and research models to optimize operation processes. You will work with Product Managers Data Engineers Data Scientists Research Scientists Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. As a Data Scientist you will play a crucial role in supporting the team by creating and maintaining the data infrastructure necessary for the advanced analytics and machine learning solutions.

Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India Australia Singapore MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis:

Using live package and truck signals to adjust truck capacities in real-time
HOTW models for Last Mile Channel Allocation
Using LLMs to automate analytical processes and insight generation
Ops research to optimize middle mile truck routes
Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings
Deep Learning models to synthesize attributes of addresses
Abuse detection models to reduce network losses

Key job responsibilities
Agent development for data analytics.
data with statistical and ML techniques.
analysis/model in scripting languages (e.g. Python R) and statistical/mathematical software (e.g. SAS Matlab etc.).
science-based Supply Chain solutions.
documentation.
and understand state-of-the-art statistical and ML techniques/tools.
and understand Amazon Supply Chain operations.

- 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
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
- Experience developing AI Agents

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- 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 with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2

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