Applied Scientist Amzn Shipping-Prd Tech Amzn Shipping-Prd Tech
Applied Scientist Amzn Shipping-Prd Tech Amzn Shipping-Prd Tech
Posted on :
07-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit offmanifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load and velocity of movements derived from package scan events) and outside (such as weather signals) you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions and generating proactive customer notifications.
Your role will require you to demonstrate Think Big and Invent and Simplify by refining and translating Transportation domainrelated business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms such as supervised unsupervised semisupervised and reinforcement learning. Your model choices will include but not be limited to linear/logistic models tree based models deep learning models ensemble models and Qlearning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America Europe Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality and will be directly used in production services.
You will work as part of a diverse data science and engineering team comprising of other Applied Scientists Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.
If you are excited by this charter come join us!
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 using Unix/Linux
Experience in professional software development
PhD or a Masters degree and experience building machine learning models or developing algorithms for business application
Significant peer reviewed scientific contributions in relevant field
Extensive experience applying theoretical models in an applied environment
Expertise on a broad set of ML approaches and techniques
Prior Experience in Transportation Logistics business
Superior verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to nonexperts
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 https://amazon.jobs/content/en/howwehire/accommodations for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Your role will require you to demonstrate Think Big and Invent and Simplify by refining and translating Transportation domainrelated business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms such as supervised unsupervised semisupervised and reinforcement learning. Your model choices will include but not be limited to linear/logistic models tree based models deep learning models ensemble models and Qlearning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America Europe Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality and will be directly used in production services.
You will work as part of a diverse data science and engineering team comprising of other Applied Scientists Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.
If you are excited by this charter come join us!
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 using Unix/Linux
Experience in professional software development
PhD or a Masters degree and experience building machine learning models or developing algorithms for business application
Significant peer reviewed scientific contributions in relevant field
Extensive experience applying theoretical models in an applied environment
Expertise on a broad set of ML approaches and techniques
Prior Experience in Transportation Logistics business
Superior verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to nonexperts
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 https://amazon.jobs/content/en/howwehire/accommodations for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
