HP Supply Chain Data Scientist 

United States, California, Palo Alto 

742844571

Supply Chain Data Scientist

Description -

As a member of SPaM, you will:
✅supply chain investment and improvement opportunities.
✅
✅
✅with senior executives to set direction and drive innovation.
✅

Responsibilities

• Collaborate & Strategize: Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership.
• Drive Supply Chain Innovation: Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making.
• Transform Data into Impact: Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value.
• Build & Scale Advanced Analytics Solutions: Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale.
• Enable Change & Adoption: Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization.
• Stay Ahead of the Curve: Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends.

Education and Experience Required

• MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration
• Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area
• 10+ years of experience

Knowledge and Skills

• Expertise with inventory optimization math and deployment of the mathematical formulas into a business process
• Applied experience with machine learning and optimization on large datasets
• Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel
• Experience with GenAI
• Passion for data science & delivering data-driven outcomes
• Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return)
• Demonstrated practical experience in an operational environment
• Experience implementing and handing off operational analytical solutions to business users
• Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment
• Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence
• Experience with data visualization and data presentation in a clear and effective manner
• Experience leading, collaborating with, and delivering results in cross-functional teams
• Familiarity with statistics, forecasting, simulation, and spreadsheet modelling
• A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability

The base pay range for this role is

• Healthinsurance
• Dentalinsurance
• Visioninsurance
• Longterm/short term disability insurance
• Employeeassistance program
• Flexiblespending account
• Lifeinsurance
• Generoustime off policies, including:
  • 4-12weeks fully paid parental leave based on tenure
  • 11paid holidays
  • Additionalflexible paid vacation and sick leave ( )

Data & Information Technology

Full time

No shift premium (United States of America)

Not Specified

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Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.