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

Feedinkoo; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

Feedinkoo is seeking a full-time intern in data science based in the United States for a role focused on data extraction and statistical modeling. The successful candidate will work with advanced tools such as SQL and Python to solve real-world challenges affecting customer experiences.

Applicants must be enrolled in a relevant Master's or PhD program and have experience in data science disciplines, including Machine Learning and Computer Vision. Excellent communication skills are a must, as well as a proactive approach to problem-solving.

Qualifications

• Currently enrolled in a Master’s or PhD program in a quantitative field.
• At least 1 year of academic or industry experience in data-related roles.
• Experience using data-querying and scripting languages.

Skills

Data extraction

Statistical modeling

Communication skills

Machine Learning

Computer Vision

Education

Master’s or PhD in relevant field

Tools

SQL

Python

R

MATLAB

Job description

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? If you answer yes to any of these, 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 and transform our customers’ experiences. We invent new improvements every day and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.

About the Team

Amazon empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment‑center operations using autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. The team focuses 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, Economics, or a related quantitative field.
• Degree program must be based in the United States with an expected graduation of December2025 or later.
• Must be eligible for and available for a full‑time (40hours per week) internship based out of the assigned office location for the entire duration of the internship/co‑op.
• At least 1 year of relevant academic research or industry experience within science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related fields.
• 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 the ability to explain complex technical concepts to non‑technical audiences while 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 and 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.

Company – Amazon.com Services LLC – A57
Job ID: A2776319