Supply Chain Data Scientist Job Opportunity at HP

HP Inc., the world's leading personal systems and printing company, invites passionate and talented individuals to join our Strategic Planning and Modelling (SPaM) Data Science team. Our mission is to create technology that enhances lives globally. Join us in propelling innovation and enriching the way the world works and lives.

Why Join HP's SPaM Team?

We seek visionaries with a thirst for learning. As part of the SPaM Data Science team, you'll evaluate supply chain investments, generate strategic business recommendations, and develop next-gen predictive and prescriptive analytical models. Collaborate with senior executives to influence strategic direction and foster innovation within our global supply chain. With over 35 years of supply chain innovation, we offer flexible work schedules, formal training, and mentorship.

If you enjoy pioneering data-driven innovations to tackle business challenges, HP's SPaM team is the perfect fit for you!

Responsibilities

• Collaborate with SPaM and cross-functional teams to frame business challenges, gather key data, and present well-supported conclusions to management.
• Innovate in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution.
• Utilize visualization tools to effectively tell stories with data, showing insight, impact, and business value.
• Build, deploy, and support scalable predictive and prescriptive analytic solutions.
• Use proven MOC techniques for smooth adoption of new solutions.
• Maintain proficiency in data science and supply chain management by staying updated with technology advancements.

Education and Experience Required

• MS/PhD in business analytics fields (Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration.
• 7-10 years of operational experience in network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, or related supply chain domains.

Knowledge and Skills

• Experience with machine learning and optimization on large datasets.
• Proficiency in Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, and Excel.
• Experience with generative-AI.
• Passion for data science and delivering data-driven outcomes.
• Innovation across supply chain domains (Plan, Source, Make, Deliver).
• Expertise in inventory optimization, and deployment of mathematical formulas into business processes.
• Hands-on practical experience in an operational environment.
• Experience in implementing and handing off operational analytical solutions to business users.
• Ability to handle ambiguity and collaborate in a fast-paced environment.
• Excellent problem-solving skills.
• Effective communication skills with diplomacy and confidence.
• Proficiency in data visualization and clear data presentation.
• Experience leading and collaborating with cross-functional teams to deliver results.
• Familiarity with statistics, forecasting, simulation, advanced data visualization, and spreadsheet modeling.
• Commitment to building on HP's brand synonymous with innovation, trust, reliability, and sustainability.

Job Details

Position: Supply Chain Data Scientist

Job Type: Full-Time

Schedule: No Shift Premium (United States of America)

Travel: 25%

Relocation: Not Specified

Equal Opportunity Employer (EEO)

HP Inc. is an Equal Opportunity Employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, veteran status, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by law.

Rest assured, you will not face adverse treatment for voluntarily disclosing this information. All information obtained will be kept strictly confidential.

For more information about HP’s EEO Policy or your EEO rights as an applicant,