Applied Scientist, Amzn Shipping-Prd & Tech, Amzn Shipping-Prd & Tech

Amazon

2 - 5 years

Gurugram

Posted: 06/06/2025

Job Description

Description
Amazon Shipping Team:
Basic Qualifications:
Btech/Mtech in Computer Science, Machine Learning, Operations Research, Statistics, or related technical field
applying ML techniques to solve complex business problems
programming skills in Python, R, or similar languages
Experience with modern ML frameworks (PyTorch, TensorFlow, etc.)
About the Role:
At Amazon Shipping, we're revolutionizing package delivery through machine learning.
Our network handles packages daily with predictive monitoring, proactive failure detection, and intelligent redundancy
- all while optimizing costs for our customers.
Key Responsibilities:
Design and develop ML models for:
Transportation cost auditing and discrepancy detection
Package
- level shipping cost prediction
First Mile optimization through warehouse pickup forecasting
Delivery delay prediction using network signals and external factors
Collaborate with cross
- functional teams to implement ML solutions at scale
Author scientific papers for ML conferences
Mentor team members in ML best practices
Provide ML consultation across organizations
Preferred Qualifications:
PhD in Experience with large
- scale distributed systems
Publication record in top
- tier ML conferences
Expertise in time series forecasting and anomaly detection
Background in transportation/logistics optimization
communication skills with technical and non
- technical stakeholders
Our Team:
You'll join a diverse team of Applied Scientists, Software Engineers, and Business Intelligence Engineers working on edge ML solutions.
We're passionate about solving complex problems and delivering customer value through innovation.
Key job responsibilities
Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain
- related 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, semi
- supervised 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 Q
- learning 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.

Basic Qualifications
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred Qualifications
- Experience with modeling tools such as R, scikit
- learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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/how
- we
- hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About Company

Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.

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