Quill Data Science Intern (Hybrid) - June 2026

About the position Staples is business to business. You're what binds us together. Quill is a valuable part of the Staples family of brands. Since 1956, Quill has held its position as a leader in office supplies. Acquired by Staples in 1998, Quill delivers the essential services, solutions, and award-winning customer support to help our customers - and our people - thrive. When you partner with Quill, as a customer or as an associate, every workday is more rewarding. We're searching for you: fresh talent with new ideas, innovation, passion, and drive to bring to Staples. We have student and graduate opportunities where you'll help the Staples, Inc. organization be more successful and productive while building a purposeful career. Whether you are looking for a summer internship, co-op, or an entry-level role, we'll help you develop the technical and soft skills you need to thrive in the future. This internship position is a part of a hybrid work model, 4 days in the office and 1 day remote, based out of the Quill Corporate facility in Lincolnshire, IL. Target Start Date: June 1, 2026 - August 14, 2026 (11-week program) Intern Pay Rate: $29 per hour. Responsibilities • Apply statistical analysis and machine learning techniques to extract insights from data • Collaborate with team members and stakeholders to understand business needs and develop data-driven solutions • Construct and present insightful models, analyses, and test readouts to influence marketing, product, and promotional strategies • Perform data mining, exploratory analysis, and A/B testing to support key business initiatives • Research and analyze data to find deep relations within data to be used in the ML/AI algorithms • Build and test audience targeting strategies and models, including relevancy, re-targeting, look-alike models, etc. Requirements • Pursuing a master's or doctoral degree in Computer Science /Analytics/Engineering or a related technical discipline • Strong foundation in statistical analysis, machine learning algorithms, and modeling techniques • Proficiency in Python programming language • Familiarity with SQL and experience in handling large datasets Nice-to-haves • Enjoy working in teams and being highly communicative • Able to multitask and be flexible to new initiatives Apply tot his job