Strategic Decision Scientist — Supply Chain Analytics

Hewlett Packard Co.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Hewlett Packard Co. is seeking a Decision Support Data Scientist to translate complex supply chain planning challenges into structured analytical problems and deliver data-driven recommendations.

The role involves diagnostics, scenario analysis, and collaboration with planning leaders to improve decision quality and operational performance. The ideal candidate will have strong Python/SQL skills, experience with statistical modeling, and a track record of turning analytical outputs into

Qualifications

• :Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Operations Research, Industrial Engineering or related quantitative field.
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• Typically 4-7 years of relevant experience in data science, decision science, advanced analytics, operations research or related quantitative function.
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Responsibilities

• Translate complex supply chain planning challenges into structured analytical problems.
• Define decisions, objectives, constraints and success measures.
• Develop hypotheses and analytical approaches to investigate planning problems.
• Apply suitable analytical methods based on business problems.
• Work with stakeholders to reflect real-world constraints in analyses.
• Analyze large datasets with Python, SQL and statistical techniques.
• Develop repeatable decision frameworks and communicate actionable insights.

Skills

Python programming

SQL querying

Statistical analysis

Hypothesis testing

Scenario modelling

Sensitivity analysis

Decision support

Data storytelling

Communication

Education

Bachelor's or Master's in Data Science / Statistics / Operations Research / Industrial Engineering

Tools

Pandas

NumPy

SciPy

Scikit-learn

Power BI

Tableau

Job description

Hewlett Packard Co. is seeking a Decision Support Data Scientist to translate complex supply chain planning challenges into structured analytical problems and deliver data-driven recommendations.

The role involves diagnostics, scenario analysis, and collaboration with planning leaders to improve decision quality and operational performance. The ideal candidate will have strong Python/SQL skills, experience with statistical modeling, and a track record of turning analytical outputs into