Job Description

DESCRIPTION


ATE (Analytics, Technology and Engineering) is a multi-disciplinary team of scientists, engineers, and technicians, all working to innovate in operations for the benefit of our customers. Our team is responsible for creating core analytics, science capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes.. You will work with professional software development managers, data engineers, data scientists, applied scientists, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. We are on the lookout for an enthusiastic and highly analytical individual to be a part of our journey.

Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon\'s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.

Major responsibilities include:

\xc2\xb7 In this role, you will be responsible for developing and implementing innovative, scalable models and tools aimed at tackling novel challenges within Amazon\'s global fulfillment network. Collaborating with fellow scientists from various teams, you will work on integrated solutions to enhance fulfillment speed, reduce costs. Your in-depth comprehension of business challenges will enable you to provide scientific analyses that underpin critical business decisions, utilizing a diverse range of methodologies. You\'ll have the opportunity to design scientific tool platforms, deploy models, create efficient data pipelines, and streamline existing processes.
Join us in shaping the future of Amazon\'s global retail business by optimizing delivery speed at scale and making a lasting impact on the world of e-commerce. If you\'re passionate about solving complex problems and driving innovation, we encourage you to apply.

About the team
This team is responsible for applying science based algo and techniques to solve the problems in operation and supply chain. Some of these problems include, volume forecasting, capacity planning, fraud detection, scenario simulation and using LLM/GenAI for process efficiency

We are open to hiring candidates to work out of one of the following locations:

Bengaluru, KA, IND

BASIC QUALIFICATIONS

- PhD, or Master\'s degree and 5+ years of quantitative field research experience
- 7+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers

PREFERRED QUALIFICATIONS

- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms

Amazon