Data Scientist

Data Scientist

  • Anywhere

Company Name:-
Amazon US Services LLC

Job Location:-
Seattle, WA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionBA/BS in a quantitative or technical discipline (Computer Science, Engineering, Information Systems, Mathematics, etc.

) or 4+ years or equivalent work experience
3+ years of demonstrated experience in data science and/or operations research
Redshift, Oracle, or other Big Data technologies
Experience with complex operational, process, and performance improvement projects

The Global Specialty Fulfillment (GSF) Supply Chain team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences, including Prime Now, Amazon Fresh, Amazon Go, Whole Foods, Treasure Truck, Amazon Business, and other soon-to-launch exciting new businesses.

Come be a part of a 100+ Fulfillment Center and Distribution Center network across North America, Europe and APAC – serving customers in as fast as 60 minutes!

At Amazon, you will be working in one of the world’s largest and most complex data environments.

You will be responsible for solving complex big-data problems in our supply chain and use your analytical and quantitative skill to identify optimization opportunities and ensuring teams make data-driven decisions.

An ideal candidate should have strong depth and breadth knowledge in data analysis and visualization, SQL, and data design.

The candidate should have familiarity with cloud-based database solutions (Redshift), a scripting language (e.

g.

Python, R) and a data science platform (e.

g.

, Sagemaker).

Master’s degree in Computer Science, Engineering, Information Systems, Statistics, or related field
Advanced knowledge of Python, R, or other programming language
Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.

Experience working in very large data warehouse environments
Data science models deployed in production solving a large business problem
Experience conducting large scale data analysis to support business decision making
Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams

Amazon is committed to a diverse and inclusive workplace.

Amazon is an equal

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