Data Scientist III, ROW AOP
Data Scientist III, ROW AOP
Posted on :
10-05-2025
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1 Vacancy
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Job Description
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.
We are looking for a Scientist to join our growing Science Team. As Data Scientist you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with orgs priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders and possess ability to think strategically about business product and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences.
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 realtime
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
1. Use machine learning and analytical techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key processes
2. Design develop evaluate and deploy innovative and highly scalable ML/OR models
3. Work closely with other science and engineering teams to drive realtime model implementations
4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions
5. Establish scalable efficient automated processes for large scale data analyses model development model validation and model maintenance
6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of largescale complex ML models in production
7. Leading projects and mentoring other scientists engineers in the use of ML techniques
5 years of data scientist experience
Experience with data scripting languages (e.g. SQL Python R etc.) or statistical/mathematical software (e.g. R SAS or Matlab)
Experience with statistical models e.g. multinomial logistic regression
Experience in data applications using large scale distributed systems (e.g. EMR Spark Elasticsearch Hadoop Pig and Hive)
Experience working with data engineers and business intelligence engineers collaboratively
Demonstrated expertise in a wide range of ML techniques
Experience as a leader and mentor on a data science team
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
Expertise in Reinforcement Learning and Gen AI is preferred
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.
We are looking for a Scientist to join our growing Science Team. As Data Scientist you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with orgs priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders and possess ability to think strategically about business product and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences.
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 realtime
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
1. Use machine learning and analytical techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key processes
2. Design develop evaluate and deploy innovative and highly scalable ML/OR models
3. Work closely with other science and engineering teams to drive realtime model implementations
4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions
5. Establish scalable efficient automated processes for large scale data analyses model development model validation and model maintenance
6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of largescale complex ML models in production
7. Leading projects and mentoring other scientists engineers in the use of ML techniques
5 years of data scientist experience
Experience with data scripting languages (e.g. SQL Python R etc.) or statistical/mathematical software (e.g. R SAS or Matlab)
Experience with statistical models e.g. multinomial logistic regression
Experience in data applications using large scale distributed systems (e.g. EMR Spark Elasticsearch Hadoop Pig and Hive)
Experience working with data engineers and business intelligence engineers collaboratively
Demonstrated expertise in a wide range of ML techniques
Experience as a leader and mentor on a data science team
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
Expertise in Reinforcement Learning and Gen AI is preferred
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.
Employment Type
Full-Time
Key Skills
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