Applied Scientist II ROW AOP
Applied Scientist II ROW AOP
Posted on :
08-04-2025
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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 professional 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 an Applied Scientist to join our growing Science Team. As an Applied 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 science teams to affect pricing models and 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 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
As part of our team candidate in this role will work in close collaboration with other applied scientists and cross functional teams on high visibility projects with direct exposure to the senior leadership team on regular basis.
About the team
This team owns all science initiatives of ROW (Rest of World >10 countries) operations of Amazon spread across applied sciences ops research AI and so on.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in solving business problems through machine learning data mining and statistical algorithms
Experience using Unix/Linux
Experience in professional software development
Experience in patents or publications at toptier peerreviewed conferences or journals
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 an Applied Scientist to join our growing Science Team. As an Applied 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 science teams to affect pricing models and 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 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
As part of our team candidate in this role will work in close collaboration with other applied scientists and cross functional teams on high visibility projects with direct exposure to the senior leadership team on regular basis.
About the team
This team owns all science initiatives of ROW (Rest of World >10 countries) operations of Amazon spread across applied sciences ops research AI and so on.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in solving business problems through machine learning data mining and statistical algorithms
Experience using Unix/Linux
Experience in professional software development
Experience in patents or publications at toptier peerreviewed conferences or journals
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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