Description
HP is the world’s leading personal systems and printing company. We create technology that makes life better for everyone, everywhere. Our innovation springs from a team of passionate, talented, and curious individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
We are looking for visionaries, with a passion for learning, to join our Strategic Planning and Modelling (SPaM) Data Science team. Our team members are tasked with evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, and creating next-generation predictive and prescriptive analytical model deployments. We provide technical and thought leadership as we partner with senior executives to set strategic direction and drive innovation in our global supply chain.
HP’s SPaM team draws upon a 35-year history of success in supply chain innovation, enjoys a flexible work schedule, and invests in our continued success through formal training and mentorship.
Join SPaM, if pioneering data-based innovations to solve business challenges for HP sounds like fun to you!
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
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: network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area
· 7-10 years experience
Knowledge and Skills
· 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-pace 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
· 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 $118,050 to $181,800 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related 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;
• 4-12 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 is 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.