Senior Data Scientist

Senior Data Scientist

Requirements

• 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, Shell Script.
• 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.

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 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 (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 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.

Preferred Qualifications

• Exposure to operations research techniques is a plus.