Senior Data Scientist - Supply Chain Optimization

Full time

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Employment Information

Job levelSenior level

IndustryRetail

Experience7+ years

LocationIrving, TX, United States

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.

Work location options: Irving TX; Enon OH

About This Opportunity

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. 7-Eleven is looking for strong leaders and operational experts to join our Supply Chain & Distribution Center Management Team. You’ll bring the managerial drive and operational savvy to inspire your team and achieve exceptional results. You will leverage technology and a culture of continual innovation to optimize our supply chain network. 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.

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 and implementation of data science models and algorithms in a production environment.
Anticipate and evaluate impact of analytical solutions on related projects as part of the developing complex analytical algorithm/solutions for various business problems.
Stays current with analytical advancements and provide thought leadership in choosing the right algorithm for solving a given business problem.
Decompose large and complex problems into simple and easy to understand solutions.
Present and share complicated machine learning and data science solutions to leadership, stakeholders, and cross functional team.
Participates in internal & external technology & analytical forums and discussions.
Prioritize workload, ensure high quality of solutions that adhere to standards and best practices are delivered in timely fashion.
Outstanding written and verbal communication skills.
Proficiency with manipulating large data-sets, data analysis and modeling software (R, Spark, Python, etc.).
Ability to define the problem under ambiguous business considerations, gather the appropriate data, develop the models and deliver appropriate recommendations at the speed of business.
Define and conduct experiments/ scenarios to validate or reject hypothesis and inform appropriate recommendations to stakeholders.
Work with peers and stakeholders across Planning, Design, Supply Chain, Merchandising, Finance and Operations to evaluate different business opportunities.
Foster a culture of innovation and inclusiveness.
Develop insights through analysis and visualization with data to inform and influence stakeholders.
Master’s in Industrial Engineering, Mathematics, Computer Science, Statistics and other related quantitative fields.
5+ years of relevant work experience, preferably in a supply chain environment.
Experience with programming in SQL, R, Python, Spark, Shell Script, SAS.
Exposure to operations research techniques is a plus.
Ability to work independently and as part of a diverse team.
Excellent interpersonal skills and a tenacious attitude.
Proven record of innovation and strategic impact across teams.
2+ year experience in big data and data science.