Supply Chain Data Scientist

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

Equal Opportunity Employer (EEO):

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, 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 applicable national, federal, state, and local law(s).