Amazon

Data Science Manager III, AFT Inventory

Posted On

Jan. 27, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

Feb. 24, 2026

Job Description

As a Data Science Manager at AFT Inventory, you own building and science teams that meet the needs of the business, advance data science technology, and work well with non-science stakeholders and scientists. Teams may consists of but aren’t limited to Scientists, Business Intelligence Engineers, Data Engineers, Software Development Engineers and Technical Program Managers. Besides setting long-term direction, you own the tactical aspects of improving the customer experience, developing a customer roadmap, and driving the development of new models and algorithms that have an impact on millions of customers.

You draw from a broad data science expertise to mentor Scientists and Business Intelligence Engineers; following a rigorous scientific methodology, while providing leadership on complex technology issues. You guide your team in latest methods in big data processing, data science literature, experimentation and careful consideration of modeling decisions. We expect you to have breadth of data science knowledge, and experience with the management of technical teams. Your role includes hiring top talent, providing feedback, promoting, overall allocation strategy and meeting frequency strategy.

You will help guide the science team to piece together data from multiple sources, models, and
infrastructure into a cohesive end-to-end solution (Focus: statistical, analytical, data management and
data science). You will have the opportunity to work across a wide variety of areas while acting as a link
between business-facing communication and technical data manipulation.

About the team
AFT Inventory team is at the heart of Amazon e-commerce supply chain. The team manages the creation and movement of inventory through Amazon Fulfilment centers, creating the best in class selection for our customers while ensuring the best vendor and seller experience- 5+ years of building quantitative solutions as a scientist or science manager experience
- 2+ years of scientists or machine learning engineers management experience
- 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language

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