Data Science Intern - Quill (Hybrid) - June 2025
Lincolnshire, IL, United States
Staples
Staples offers free next-day delivery when you spend $35+ on office supplies & furniture, ink, printing services, computers, & promotional products for business.Staples is business to business. You’re what binds us together.
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 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 2, 2025 - August 15, 2025 (11-week program)
Intern Pay Rate: $26 per hour
Position Overview:
We are looking for a Data Science Intern to join our team and help leverage data to drive business decisions. This internship is ideal for individuals eager to gain hands-on experience in statistical analysis, machine learning, and data-driven strategy. This internship offers real-world experience in data-driven decision-making and exposure to impactful business challenges. If you're passionate about data and eager to learn, we'd love to hear from you!
What you bring to the table:
- Collaborative – able to build partnerships and work collaboratively with others to meet shared objectives
- Customer Focused – able to identify and understand internal or external customer needs and interests and deliver customer-centric solutions
- Inclusive – dedicated to fostering an inclusive environment consisting of diverse individuals from varying backgrounds and cultures
- Innovative – develop new insights; question conventional approaches, encourage new ideas, design and implement new solutions
- Self-Developer – actively seeks new ways to grow and be challenged using both formal and informal development channels
What you’ll be doing:
- Work on small to moderate-scale data projects with mentorship from the Data Science team.
- 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.
What’s needed- Basic Qualifications:
- Actively pursuing a master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Hands-on experience with Excel, SQL, Python or R, Gen AI, and statistical analysis (testing & modeling).
- Strong analytical and problem-solving skills in a fast-paced environment.
- Ability to communicate complex findings clearly to non-technical stakeholders.
- Self-motivated and able to manage multiple projects independently.
Tags: A/B testing Computer Science Data Mining Excel Generative AI Machine Learning Python R SQL Statistics Testing
Perks/benefits: Career development
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