Supply Chain Data Scientist

Ross Stores-posted 3 months ago
Full-time
Remote • Rock Hill, SC
5,001-10,000 employees
Clothing, Clothing Accessories, Shoe, and Jewelry Retailers
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The Supply Chain Data Scientist will be responsible for elevating the analytical capabilities within the Ross Supply Chain and leading sophisticated analyses in support of strategic projects. This role involves driving decision making through operations research, identifying supply chain opportunities and efficiencies, and communicating results to senior leaders. The position requires close partnership with the Engineering team and other cross-functional partners.

  • Perform practical, action oriented, & comprehensive data analyses to diagnose business problems, optimize approaches and measure impact.
  • Understand end-to-end supply chain physical operations and related metrics.
  • Manipulate and analyze large data sets across various systems.
  • Determine root causes, business drivers and opportunities through modeling, statistical analyses, optimization and simulation.
  • Collaborate with cross-functional teams including engineers, analysts and business stakeholders.
  • Interpret results from models and generate recommendations to provide insights to leadership teams.
  • Lead the build out of advanced data capabilities at Ross using a project management approach.
  • Utilize operations research methodologies to solve complex business problems.
  • Communicate analytics and recommendations in easy-to-understand ways.
  • Become the point person / subject matter expert for ad hoc questions from cross-functional business partners.
  • Minimum 5 years post college experience, with experience in analytical positions.
  • MS in Operations Research, Industrial Engineering, Computer Science, Data Science, or equivalent work experience.
  • 3+ years of experience in supply chain optimization, simulation and probability statistics.
  • Deep understanding of statistics, data mining techniques and tools.
  • Outstanding analytical ability with a data driven approach to solving problems.
  • Project Management experience with classic life cycle elements.
  • Detail-oriented approach with attention to details and ability to meet tight timelines.
  • Experience in SQL, Power BI and/or Tableau, Excel and PowerPoint.
  • Excellent communication skills with the ability to tell data driven stories.
  • Ability to build effective working relationships across the organization.
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