Strategic Supply Chain Decision Scientist

HP PPS ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

HP PPS Asia Pacific PTE. LTD. seeks a Decision Support Data Scientist to apply advanced analytics and decision science to complex supply chain planning problems in Singapore.

The role translates planning challenges into structured analytical problems, diagnoses performance drivers, evaluates scenarios and develops evidence-based recommendations to improve planning decisions. The position sits between planning decision science and technical data science, collaborating with planners, data

Qualifications

• Translate complex and sometimes ambiguous supply chain planning challenges into structured analytical problems.
• Define the decisions to be made, relevant objectives, constraints, assumptions, uncertainties and measures of success.
• Develop hypotheses and analytical approaches to investigate planning problems and identify underlying drivers.

Responsibilities

• Translate complex and sometimes ambiguous supply chain planning challenges into structured analytical problems.
• Define the decisions to be made, relevant objectives, constraints, assumptions, uncertainties and measures of success.
• Develop hypotheses and analytical approaches to investigate planning problems and identify underlying drivers.
• Determine the appropriate analytical methodology based on the business problem rather than applying predefined tools or techniques.
• Work with planning stakeholders to understand operational context and ensure analytical approaches reflect real‑world business constraints.
• Analyse large and complex supply chain datasets using Python, SQL and statistical techniques.
• Conduct diagnostic and root‑cause analyses across demand, supply, inventory, forecast performance and planning processes.
• Identify relationships, patterns and drivers that explain planning performance and business outcomes.
• Establish analytical baselines and compare performance across products, markets, segments and time horizons.
• Apply appropriate statistical methods to distinguish meaningful business signals from normal operational variation.
• Develop clear analytical narratives that explain what happened, why it happened and what actions should be considered.
• Develop and evaluate planning scenarios to support decisions involving inventory, supply availability, demand uncertainty, cost, responsiveness and operational risk.
• Conduct what‑if, sensitivity and trade‑off analyses to evaluate alternative planning strategies.
• Quantify the expected benefits, risks and consequences associated with different courses of action.
• Evaluate decisions under uncertainty and identify assumptions or conditions that materially change the recommended action.
• Develop repeatable decision frameworks for recurring planning problems.
• Support planners and business leaders in understanding available options and making evidence‑based decisions.
• Translate analytical findings into clear and actionable recommendations.

Job description

HP PPS Asia Pacific PTE. LTD. seeks a Decision Support Data Scientist to apply advanced analytics and decision science to complex supply chain planning problems in Singapore.

The role translates planning challenges into structured analytical problems, diagnoses performance drivers, evaluates scenarios and develops evidence-based recommendations to improve planning decisions. The position sits between planning decision science and technical data science, collaborating with planners, data