Job Description JOB SUMMARY HP is seeking a Decision Support Data Scientist to apply advanced analytics, statistical methods and decision science to complex supply chain planning problems.
will focus on translating planning challenges into structured analytical problems, diagnosing performance drivers, evaluating scenarios and trade-offs, and developing evidence-based recommendations that improve planning decisions. This is a hands-on analytical role positioned between supply chain planning and technical data science. The successful candidate will work closely with Planning Decision Science leaders, planners, Data Scientists and Analytics Automation teams to turn data and analytical outputs into actionable business decisions.
is not primarily focused on production machine-learning engineering or dashboard development. Instead, it requires strong quantitative problem-solving skills and the ability to determine what the data means, evaluate alternative courses of action, quantify trade-offs and recommend what the business should do. The successful candidate should be comfortable working with ambiguous business problems, large datasets and imperfect information, and should be able to communicate analytical conclusions clearly to both technical and business stakeholders.
KEY RESPONSIBILITIES 1. DECISION SCIENCE & PROBLEM FRAMING • Translate complex and sometimes ambiguous supply chain planning challenges into structured analytical problems. • Define the decision