Amazon Robotics - Data Scientist Co-op - 2025
Amazon Robotics - Data Scientist Co-op - 2025
Posted on :
28-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
28-06-2025
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 Answer yes to any of these and youll 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: 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.
- Currently enrolled in a Masters 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.)
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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: 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.
- Currently enrolled in a Masters 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.)
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
