Amazon Robotics - Data Scientist (DS) Co-op - Spring 2024

Amazon

Nov 24, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Data
Boston

Requirements

Master's degree (or Bachelor's degree 3+ years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science
1+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
1+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the Co-Op
Must be eligible and available for 6-month Co-Op between January - June/July for full-time work (40h / week)
PREFERRED QUALIFICATIONS:
Programming experience in Python, R or equivalent
Background in applied statistics or machine learning

Responsibilities

We are seeking data scientist co-ops to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.

Amazon

Retail & Consumer Goods

Industry

10,001+

Employees

1994

Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.