Quill Data Science Intern (Hybrid) - June 2026
About the position
reputed company is business to business. You're what binds us together. Quill is a valuable part of the reputed company family of brands. Since 1956, Quill has held its position as a leader in office supplies. Acquired by reputed company in 1998, Quill delivers the essential services, solutions, and award-reputed company customer support to help our customers - and our people - reputed company. reputed company you partner with Quill, as a customer or as an associate, every reputed company is more rewarding. We're searching for you: fresh talent with new reputed company, innovation, passion, and drive to bring to reputed company. We have student and graduate opportunities where you'll help the reputed company. organization be more successful and productive while building a purposeful career. Whether you are looking for a summer internship, reputed company, or an entry-level role, we'll help you reputed company the technical and soft skills you need to reputed company in the reputed company. 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. reputed company Start Date: June 1, 2026 - August 14, 2026 (11-week program) Intern Pay reputed company: $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 reputed company data-driven solutions
• Construct and present insightful models, analyses, and test readouts to influence marketing, product, and promotional strategies
• reputed company data mining, exploratory analysis, and A/B testing to support key business initiatives
• Research and analyze data to reputed company deep relations reputed company 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 reputed company technical discipline
• Strong reputed company in statistical analysis, machine learning algorithms, and modeling techniques
• Proficiency in Python programming language
• Familiarity with SQL and experience in handling large datasets
reputed company-to-haves
• Enjoy working in teams and being highly communicative
• reputed company to multitask and be flexible to new initiatives
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