Principal Supply Chain Data Scientist

HP

Base: $147,050 to $232,850 annually; bonus/equity:...
Not specified
Ms/phd in business analytics or mba with supply chain concentration
10+ years of operational experience in supply chain domains
Expertise in inventory optimization math and deployment
HP is seeking a Principal Supply Chain Data Scientist to join their Strategic Planning and Modeling (SPaM) team, focusing on driving strategic decision-making through advanced analytics in supply chain management. The ideal candidate will possess extensive experience in supply chain analytics, machine learning, and a strong technical background

Job Summary

  • Join HP's Strategic Planning and Modeling (SPaM) Data Science team to tackle complex supply chain challenges and drive strategic decision-making through advanced analytics.
  • The role involves developing cutting-edge predictive, prescriptive, and generative AI models to optimize business outcomes in areas like inventory management and network design.
  • HP offers a comprehensive benefits package including health insurance, up to 12 weeks fully paid parental leave, and generous time off policies.

Matching Summary

Match Score: 85

HP is seeking a Principal Supply Chain Data Scientist to join their Strategic Planning and Modeling (SPaM) team, focusing on driving strategic decision-making through advanced analytics in supply chain management. The ideal candidate will possess extensive experience in supply chain analytics, machine learning, and a strong technical background.

Salary

Base: $147,050 to $232,850 annually; Bonus/Equity: Additional opportunities available; Benefits: Comprehensive health, dental, vision, disability, life insurance, and paid time off

Skills & Requirements

Must-have

  • MS/PhD in business analytics or MBA with Supply Chain concentration
  • 10+ years of operational experience in supply chain domains
  • Expertise in inventory optimization math and deployment
  • Applied machine learning and optimization on large datasets
  • Proficiency in Python, SQL, GitHub Co-Pilot, PowerBI, Excel
  • Experience implementing operational analytical solutions

Nice-to-have

  • Passion for data science and delivering data-driven outcomes
  • Demonstrated innovation across Plan, Source, Make, Deliver, Return
  • Ability to deal well with ambiguity in fast-paced environments
  • Strong communication skills with diplomacy and credibility
  • Experience leading cross-functional teams
  • Familiarity with statistics, forecasting, and simulation

Key Requirements

  • MS/PhD in Industrial Engineering, Operations Research, Statistics, or Data Science
  • 10+ years of experience in supply chain operations
  • Operational experience in inventory optimization, demand forecasting, or network design

Work Rights

Not specified

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