Supply Chain Data Scientist

Description

HP is the worlds leading personal systems and printing company dedicated to creating technology that enriches lives everywhere. Our innovation thrives on the passion talent and curiosity of our peopleeach bringing unique perspectives expertise and ideas to shape the future of how the world works and lives.

Join HPs Strategic Planning and Modeling (SPaM) Data Science Team Where Vision Meets Impact

Are you a visionary thinker with a passion for learning and innovation Join our Strategic Planning and Modeling (SPaM) Data Science team where we tackle complex supply chain challenges and drive strategic decisionmaking through advanced analytics.

As a member of SPaM you will:
Evaluate supply chain investment and improvement opportunities.
Develop cuttingedge predictive prescriptive and generative AI models to optimize business outcomes.
Deliver strategic recommendations that shape HPs global supply chain.
Collaborate with senior executives to set direction and drive innovation.
Lead with technical and analytical expertise to translate theory into impactful business solutions through strong and crossfunctional orchestration.

At SPaM we bring over 35 years of supply chain innovation. We value flexibility invest in your growth through formal training and mentorship and foster a culture where creativity and datadriven insights power the future. If pioneering databased innovations to transform HPs supply chain excites you we want to hear from you!

Responsibilities

• Collaborate & Strategize: Work closely with SPaM team members and crossfunctional partners to define business challenges develop analytical frameworks gather key data evaluate solutions and deliver wellsupported recommendations to leadership.
• Drive Supply Chain Innovation: Develop and implement cuttingedge solutions in inventory management working capital optimization network design forecasting complexity reduction product planning manufacturing and distribution to enhance efficiency and decisionmaking.
• 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 analyticsdriven 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 CoPilot PowerBI Excel
• Experience with GenAI
• Passion for data science & delivering datadriven 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 fastpaced 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 crossfunctional 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 $154000 to $237150 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location jobrelated knowledge skills and experience.

Benefits

HP offers a comprehensive benefits package for this position including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies including:
  • 412 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave US benefits overview

The compensation and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time with or without notice subject to applicable law.

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