Principal Supply Chain Data Scientist

HP France

Principal Supply Chain Data Scientist at HP, tackling complex supply chain challenges using advanced analytics. Collaborating with executives to drive strategic decision-making and innovation.

Posted 4/16/2026full-timeSpring • California, Texas • 🇺🇸 United StatesLead💰 $147,050 - $232,850 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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
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.

Benefits

Comp & perks

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: 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

inventory optimizationdemand forecastingnetwork designplanningprocurementlogisticsmachine learningoptimizationdata visualizationstatistical analysis

Soft Skills

collaborationcommunicationchange managementinnovationproblem-solvingadaptabilityleadershipstrategic thinkinganalytical thinkingdiplomacy

Certifications

MS in Business AnalyticsPhD in Business AnalyticsMBA with Supply Chain concentration