Supply Chain – Associate Data Scientist Co-Op (Hybrid) - July 2025
Framingham, MA, 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 are searching for you: fresh talent with new ideas, innovation, passion, and drive to bring to Staples. We have opportunities where you will help businesses of all sizes to be more successful and productive while building a career fueled by purpose, people, and triumph. We will help you develop the technical and soft skills you need to thrive in the future.
The Co-Op Program will be a 6-month program aimed at developing high-potential Staples leaders. The program is designed to give you real work experience, aligning you with strategic projects. The Co-Op program will provide a diverse field of responsibility and you will work directly with leaders across several business units to help drive deeper understandings of business performance and trends, as well as ensure businesses are performing in line with short and long-term objectives.
This Co-Op position requires you to be in a hybrid working model (at least 3 days in the office, and 2 days remote) based at the Staples, Inc. Corporate Headquarters in Framingham, MA.
Target Start Date: July 7, 2025 - December 12, 2025
Note: This Co-Op position is ONLY eligible for students enrolled in the Northeastern University graduate program.
Position Summary
- The Associate Data Scientist (Supply Chain) Co-op will gain hands-on experience applying analytical methods to improve decision-making across Staples’ Supply Chain using mathematical modeling, statistical analysis, and mathematical optimization execution of optimal or near-optimal solutions to complex decision-making problems
- These problems will come from all parts of the Staples’ Supply Chain and will include challenges like:
- Developing inventory management procurement strategies that minimize Staples’ investment in inventory while achieving or exceeding service-level targets
- Refining Staples’ logistics network strategy to ensure facility locations and store/customer assignments are optimized to minimize variable costs
- Enhancing and implementing product profitability / cost-to-serve models to ensure the right products are being stocked in the right locations
What you’ll be doing:
- While working alongside a Staples Supply Chain Data Scientist:
- Apply analytical methods to solve complex, data-driven business problems that will ultimately have a direct impact on Staple’s bottom-line communicate results to management as needed
- Research, design, and implement data models and innovative algorithms to analyze diverse sources of data to realize actionable results
- This role will be directly or indirectly supporting all functional areas within the Staples’ Supply Chain
What's Needed - Basic Qualifications:
- Pursuing a master's degree in Operations Research, Industrial Engineering, Mechanical Engineering, Supply Chain, Manufacturing, Mathematics, Statistics, Computer Science, or a related field
- Experience with data mining, mathematical modeling, statistical analysis, and mathematical optimization tools, including linear programming, integer programming, mixed integer programming, Markov decision processes, and multivariate analysis is a plus
- Demonstrated analytical thinking, and strategic problem-solving capabilities
What's Needed - Preferred Qualifications:
- Knowledge and experience using major statistical analysis tools such as R, Matlab, or SAS
- Programming Skills developing applications in NodeJS, Go, Python, Java, or Scala
- Experience working with data visualization and BI tools such as Tableau, Power BI, MicroStrategy & QlikView
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Mining Data visualization Engineering Industrial Java Mathematics Matlab Node.js Power BI Python QlikView R Research SAS Scala Statistics Tableau
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