Amazon Robotics - Data Science Intern / Co-op - 2026

AmazonNorth Reading, MA
58dOnsite

About The Position

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 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. Amazon internships across all seasons are full-time positions, and intern/co-ops should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. Please note that by applying to this role you would be considered for Data Science Intern and Co-op in 2026 (winter, spring, summer, fall) roles on various Robotics teams. You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.

Requirements

  • Are 18 years of age or older
  • 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
  • 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.)

Nice To Haves

  • 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

Responsibilities

  • Design and implement state-of-the-art solutions for never-before-solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight our customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
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