Data Scientist, ROW AOP, Analytics Operations and Programs
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Job Summary
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
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.
- 1-3 years of data/research scientist statistician or quantitative analyst.
- Familiar with data analytics in scripting languages (e.g. Python R) and statistical/mathematical software (e.g. SAS Matlab etc.).
- Familiar with querying languages (e.g. SQL).
- Fundamental understanding of statistical modeling.
- Fundamental understanding of Machine Learning techniques.
- Background in Statistics/ML; strong statistical/ML knowledge.
- General programming capability (e.g. software architecture design patterns Docker).
- Knowledge of AWS services (e.g. SageMaker Bedrock ECS Lambda CDK).
- Knowledge of database technologies (e.g. Redshift Aurora DynamoDB).
- Familiar with Linux environment.
- Fundamental Supply Chain experience/domain knowledge.
- Experience in building NLP/LLM applications.
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 including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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
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.
- 1-3 years of data/research scientist statistician or quantitative analyst.
- Familiar with data analytics in scripting languages (e.g. Python R) and statistical/mathematical software (e.g. SAS Matlab etc.).
- Familiar with querying languages (e.g. SQL).
- Fundamental understanding of statistical modeling.
- Fundamental understanding of Machine Learning techniques.
- Background in Statistics/ML; strong statistical/ML knowledge.
- General programming capability (e.g. software architecture design patterns Docker).
- Knowledge of AWS services (e.g. SageMaker Bedrock ECS Lambda CDK).
- Knowledge of database technologies (e.g. Redshift Aurora DynamoDB).
- Familiar with Linux environment.
- Fundamental Supply Chain experience/domain knowledge.
- Experience in building NLP/LLM applications.
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 including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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