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Data Science Intern - Quill (Hybrid) - June 2025

Lincolnshire, Illinois, États-Unis

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Remote/On-site On-site Numéro de l’emploi 36710 Type d’emploi Internship & Co-ops Date d’affichage 03/10/2025

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. 

Chez Staples, « inclusion » est un mot d'action. Il représente ce que nous faisons pour garantir que tous les employés se sentent valorisés et soutenus afin de contribuer à leur plein potentiel. Lorsque nous opérons de manière inclusive, la diversité suit naturellement. C'est pourquoi nous travaillons dur pour favoriser une culture inclusive, car nous recherchons des employés ayant des perspectives uniques et variées et des domaines d'expertise divers. Le résultat est un meilleur environnement de travail et une réflexion innovante qui nous aide à dépasser les attentes de nos clients – grâce à la force des personnes derrière notre marque emblématique.

Staples est un employeur garantissant l'égalité des chances. Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, couleur, religion, âge, sexe, orientation sexuelle, identité de genre, origine nationale, statut de vétéran protégé, handicap ou toute autre base protégée par la loi fédérale, étatique ou locale.

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