Supply Chain Data Scientist

HP - Vancouver, WA

Full-time

Vancouver, WA

Computer and Electronic Product Manufacturing

About the position

HP is the world's leading personal systems and printing company, dedicated to creating technology that enhances life for everyone, everywhere. Our Strategic Planning and Modelling (SPaM) Data Science team is at the forefront of this mission, tasked with evaluating supply chain investment and improvement opportunities. We generate strategic business recommendations and deploy next-generation predictive and prescriptive analytical models. Our team provides both technical and thought leadership, partnering with senior executives to set strategic direction and drive innovation within our global supply chain. The SPaM team boasts a rich history of 35 years in supply chain innovation, and we pride ourselves on fostering a flexible work environment. We are committed to the continued success of our team members through formal training and mentorship. If you are a visionary with a passion for learning and are excited about pioneering data-based innovations to solve business challenges, we invite you to join us in this dynamic and impactful role.

Responsibilities

• Pair with SPaM team members and collaborate with cross-functional teams to frame business challenges, structure analytical approaches, gather key data, evaluate alternative solutions, and present well-supported conclusions to management.
• Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas.
• Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value.
• Build, deploy, and support innovative predictive and prescriptive analytic solutions at scale.
• Use proven MOC techniques to ensure smooth adoption of new solutions.
• Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancements.

Requirements

• 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: network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area.
• 7-10 years experience.
• Applied experience with machine learning and optimization on large datasets.
• Proficient with Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, Excel.
• Experience with generative-AI.
• Passion for data science & delivering data-driven outcomes.
• Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver).
• Expertise with inventory optimization math and deployment of the mathematical formulas into a business process.
• 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.
• Excellent problem solver.
• 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, advanced data visualization, spreadsheet modelling.

Nice-to-haves

• 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.