Data Scientist, ROW Supply Chain Analytics, Research and Product

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

Are you interested in helping build world-class solutions for Amazon's Rest Of World (ROW) supply chain? Do you want to deliver products at scale that influence planning/forecasting of complex supply chain networks across ROW countries? Amazon's ROW (Rest of World) Supply Chain Analytics team is looking for a talented Data Scientist with leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. To be successful in the role, you will need to have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution. You will build tools and support structures needed to analyze data, dive deep into data to determine root cause and present findings to business partners to drive improvements. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with multiple business and technical teams.

This position is located at Bangalore, IN.

Key job responsibilities

• Development of scalable data science solutions to audit and optimize supply chain planning/forecasting
• Development and execution of analytical tools to model our networks (transportation, first-mile etc).
• Contribute to the strategy for forecasting/planning, prioritize technical and operational initiatives, evaluate and set stakeholders expectations.
  
  

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment
  
  

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
  
  

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