Amazon Robotics – Data Science Co-op – 2025 at Amazon

Feedinkoo; United States; Remote; USD 25,000 - 35,000; Full time

Job summary

A leading company is offering a Data Science Co-op role that involves application of robotics and software to enhance customer experiences. This full-time internship will allow you to engage in data science projects, working alongside a team to solve significant challenges. Students currently enrolled in master's or PhD programs are encouraged to apply, leveraging their skills in data extraction, analysis, and machine learning to drive impactful results.

Qualifications

• Current enrollment in a Master's or PhD program in a quantitative field.
• At least 1 year of relevant academic research or industry experience.
• Proficiency in data querying and scripting languages.

Responsibilities

• Data extraction, analysis, and statistical modeling.
• Communicate findings effectively to diverse audiences.
• Work on machine learning and computer vision projects.

Skills

Data Analysis

Machine Learning

Statistical Modeling

Python

SQL

Education

Master’s or PhD in Data Science or related field

Tools

R

SAS

Matlab

Job description

Amazon Robotics – Data Science Co-op – 2025 at Amazon

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.

Amazon Robotics is seeking students to join us for a 5-6 month internship (full-time, 40 hours per week) as Data Science Co-op.

Please note that by applying to this role you would be considered for Data Scientist spring co-op and fall co-op roles on various Amazon Robotics teams. The internship/co-op project(s) and location are determined by the team the student will be working on.

Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-robotics

About The Team

Amazon empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.

Basic Qualifications

Currently enrolled in a Master’s or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field
Degree program must be based in the United States with an expected graduation of December 2025 or later
Must be eligible for and available for full-time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co-op
At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related
At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)

Preferred Qualifications

Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Excellent communication skills with ability to explain complex technical concepts to non-technical audience, while also efficiently interacting with deeply technical peers
Understanding of data engineering and business intelligence
Quantitative and qualitative data analysis experience with demonstrated impact to a business, a track record of creative problem solving, and the desire to create and build new processes
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience with Natural language processing (NLP) and working with large language models
Experience with causal inference modeling
Experience with A/B testing and data wrangling

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.