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Principal Data Scientist - Job Opportunity at Hewlett Packard

Singapore, Singapore
Full-time
Senior
Posted: April 1, 2025
On-site
SGD 180,000 - 250,000 per year based on Singapore market rates for principal data scientist roles in multinational technology companies

Benefits

Competitive compensation package aligned with industry standards
Professional development opportunities through HP's Human Capital Partnership
Focus on sustainable impact and corporate responsibility
Career advancement within a global technology leader

Key Responsibilities

Lead strategic data science initiatives in Supply Chain Planning Analytics with direct impact on business efficiency and cost reduction
Develop and implement advanced forecasting models using ML and statistical techniques to optimize inventory and reduce costs
Drive component classification and segmentation using deep learning models to enhance product management
Spearhead supply planning optimization through data-driven decision making
Provide technical leadership and mentorship to junior team members

Requirements

Education

Master's degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science or related field. PhD a Plus

Experience

10-15 years of experience in strategic planning within Supply Chain

Required Skills

Python, R, or Scala programming Data analysis libraries (pandas, scikit-learn, TensorFlow, PyTorch, PuLP, SciPy, SimPy) Advanced forecasting techniques (ARIMA, Prophet, LSTM) Supply chain knowledge Data management and transformation Communication and presentation skills Leadership and collaboration skills
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Sauge AI Market Intelligence

Industry Trends

Supply chain optimization has become increasingly critical post-pandemic, with companies investing heavily in predictive analytics and AI-driven solutions Integration of machine learning with traditional supply chain operations represents a major transformation in the industry Growing emphasis on sustainable and resilient supply chain practices is driving demand for data-driven decision making

Role Significance

Likely leads a team of 3-5 data scientists with matrix management responsibilities across business units
Principal level position with significant strategic influence on supply chain operations and business outcomes

Key Projects

End-to-end supply chain optimization initiatives Implementation of advanced forecasting systems Development of AI-driven inventory management solutions Strategic digital transformation projects

Success Factors

Ability to bridge technical expertise with business strategy Strong leadership skills with focus on mentoring and team development Deep understanding of supply chain operations and challenges Excellence in stakeholder management and communication

Market Demand

Very high demand with limited talent pool, particularly for candidates combining deep technical expertise with supply chain domain knowledge

Important Skills

Critical Skills

Deep learning expertise for complex classification tasks Advanced forecasting and optimization techniques Supply chain domain knowledge Leadership and stakeholder management

Beneficial Skills

Sustainability metrics and reporting Cloud computing platforms Agile project management Change management

Unique Aspects

Combination of advanced data science with supply chain expertise is relatively rare
Focus on sustainable impact aligns with growing market trends
Strong emphasis on human capital development in Singapore

Career Growth

2-4 years in role before progression to senior executive positions

Potential Next Roles

Chief Data Officer VP of Analytics Head of Supply Chain Analytics Director of Advanced Analytics

Company Overview

Hewlett Packard

HP is a global technology leader with a strong focus on innovation and sustainable practices

Leading position in personal computing and printing solutions with significant market share
Singapore serves as a strategic hub for HP's APAC operations
Innovation-driven culture with emphasis on sustainability and professional development
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  • Salary estimates and market demand analysis
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  • Critical success factors and key skills
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