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 the design and implementation of data science models and algorithms in a production environment.
Anticipate and evaluate the impact of analytical solutions on related projects as part of developing complex analytical algorithms/solutions for various business problems.
Stays current with analytical advancements and provides 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 the 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 a timely fashion.
Outstanding written and verbal communication skills.
Proficiency with manipulating large data sets, data analysis, and modeling software (Python, R, Spark, 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 hypotheses 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.
Requirements & Skills:
Master’s in Industrial Engineering, Mathematics, Computer Science, Statistics, and other related quantitative fields.
3-5 years of relevant work experience, preferably in a supply chain environment.
Experience with programming in SQL, Python, R, Spark, and Shell Script.
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+ years of experience in big data and data science.
