Heading

Irving, TX

Internship

Onsite

Intern

7-Eleven Inc. is the world’s largest operator of convenience stores, continually innovating in the retail space. They are seeking a Supply Chain Data Scientist Intern to contribute to the supply chain network operations, applying technology and continuous improvement practices to drive efficiency.

Apply Now

Responsibilities

Develop a foundational understanding of 7‑Eleven supply chain data and assist in gathering and performing preliminary analysis to understand the current state of the supply chain
Support identifying patterns and potential business opportunities through exploratory data analysis
Assist in the design, development, and testing of data science models and algorithms under guidance from senior team members
Help evaluate analytical solutions and summarize their impact for ongoing initiatives
Stay informed about analytical best practices and participate in discussions on choosing appropriate methods for business problems
Break down components of moderately complex problems with direction from mentors and peers
Prepare clear, concise summaries of analytical findings to share with peers, stakeholders, and cross‑functional partners
Participate in internal analytics and technology forums to build domain knowledge and strengthen technical skills
Manage assigned tasks with support from the team and contribute to delivering high‑quality work aligned with project needs
Work with large datasets using tools such as Python, SQL, and data visualization libraries to support analysis and modeling
Assist in defining analytical questions, gathering relevant data, and contributing to model development to support recommendations
Support experiments and A/B tests designed to validate hypotheses and inform decisions
Collaborate with cross‑functional teams across Planning, Design, Supply Chain, Merchandising, Finance, and Operations to explore data‑driven opportunities
Contribute to a team culture that values learning, innovation, and inclusiveness
Develop insights through data analysis and visualization to support stakeholder understanding and decision‑making efforts

Qualification

Required

Currently pursuing a Master's or PhD in Industrial Engineering, Mathematics, Computer Science, Statistics, or another quantitative field, graduating May 2027
Ability to work collaboratively in a diverse team environment and willingness to learn from mentors and teammates
Strong written and verbal communication skills and a proactive, curious mindset

Preferred

Prior academic or project experience in data science, machine learning, or supply chain analytics is preferred but not required
Familiarity with programming in SQL and Python; exposure to Spark or Shell Script is a plus