Data Scientist II

7-Eleven • Irving, TX

1d

About The Position

With more than 13,000 stores in the U.S. and 84,000 stores globally, it is no wonder 7-Eleven, Inc. has been named an iconic brand. In addition to 7-Eleven stores, 7-Eleven, Inc. also operates and franchises Speedway, Stripes, Laredo Taco Company and Raise the Roost locations. Since inventing the convenience industry in 1927, 7-Eleven has built a rich 96-year history filled with beloved products like Slurpee, Big Gulp and Big Bite, and fan-favorite holidays like Slurpee Day and Bring Your Own Cup Day. Now, 7-Eleven is on a mission to contemporize the brand and redefine convenience – and we need your help. Summary: 7-Eleven is one of the world’s most recognized brands and one of America’s top convenience retailer serving customers at nearly 10,000 stores as well as online. But behind the customer experience is a complex, multifaceted organization that relies on innovative, effective supply chain management and distribution to make sure the right products make it to the right stores at the right time. We are seeking motivated and curious individuals to join our Supply Chain & Distribution Center Management Team. In this role, you'll contribute to the day-to-day operations of our supply chain network, learning how to apply technology and continuous improvement practices to drive efficiency and support team goals. This is a great opportunity to grow your skills in a fast-paced, collaborative environment. You'll play an important role at one of America's leading convenience retailers, and benefit from a dynamic company culture where success is rewarded. The Data Sciences team is responsible for defining 7-Eleven Supply Chain future operating model across the full value chain from vendor to customer. This team is responsible for developing optimization, simulation, machine learning models and niche data science techniques to evaluate product flow from vendor to omnichannel distribution center and customer, across the first mile, middle mile and last mile, with focus on delivery speed, ensuring sufficient capacity for throughput and storage (via inventory modeling) in the network and improve operating efficiencies in omnichannel distribution and transportation across the network.

Requirements

• Master’s or PhD in Industrial Engineering, Mathematics, Computer Science, Statistics and other related quantitative fields.
• 2+ year experience in big data and data science
• Experience with programming in SQL, Python, Spark, Shell Script.
• Ability to work independently and as part of a diverse team.
• Excellent interpersonal skills and a tenacious attitude.

Nice To Haves

• Prior work experience in supply chain environment is preferred

Responsibilities

• Develop an understanding of 7-Eleven supply chain data and gather/ analyze the same to understand the current state of the supply chain.
• Identify underlying patterns and business opportunities with data.
• Participate in design, development and implementation of data science models and algorithms, with support from senior team members.
• Support the evaluation of analytical solutions and their impact on related projects.
• Stay informed about analytical advancements and contribute to discussions on selecting appropriate algorithms for business problems.
• Help decompose complex problems into simpler components with input from the team.
• Present and share machine learning and data science solutions in a clear and accessible way to peers and stakeholders.
• Participate in internal technology and analytics discussions to build domain knowledge.
• Manage assigned tasks and contribute to delivering high-quality solutions aligned with team standards.
• Demonstrate strong written and verbal communication skills.
• Work with large datasets and use tools such as Python, SQL, and data visualization libraries to support analysis and modeling.
• Assist in defining business problems, gathering relevant data, and developing models to support recommendations.
• Support the design and execution of experiments to test 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 innovation, learning, and inclusiveness.
• Develop insights through data analysis and visualization to support stakeholder understanding and decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level