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 ofpassionate, talented,and curiousindividuals, 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 membersaretasked with evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, andcreating next-generation predictive and prescriptive analytical model deployments.Weprovide technical and thought leadershipas wepartner with senior executives to set strategic directionand driveinnovation in our global supply chain.
HP's SPaM teamdrawsupon a 32-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, ifpioneeringdata-basedinnovationsto solve business challengesforHPsounds like fun to you!
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
Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value
Build and deploy innovative predictive and prescriptive analytic solutions
Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas
Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancements
Mines data using modern tools and programming languages.
Defines and implements models to uncover patterns and predictions creating business value and innovation.
Works with project team to understand problem statements, initiates and direction.
Tells stories with the data using visualization tools/methods to demonstrate insight impact.
Assures accuracy, integrity, and compliance of cleansed data.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.
Knowledge & Skills
Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-pace environment
Excellent problem solver, with demonstrated practical experience
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
Passion for data science & delivering data-driven outcomes
Familiarity with statistics, forecasting, simulation, advanced data visualization, spreadsheet modelling
Applied experience with machine learning and optimization on large datasets
Proficient with Python and SQL
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
Using statistics, mathematics, algorithms and programming languages.
Ability to apply analytical and problem-solving skills.
Understanding of disparate unstructured and structured data in a distributed environment.
Solid grasp of structured and unstructured data and modern data transformation methodologies
Ability to create models to pull valuable insights from data.
Create stories and visualizations to describe and communicate data insights.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate data insights negotiate options.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team.
Typically partners with high-level Individual Contributors and Managers.
Supports projects requiring data engineering solutions expertise.
Education & Experience
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
Typically 2-4 years' experience including graduate or postgraduate research.
HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.