Strategic Planning & Modeling - Data Scientist
Vancouver, WA 
Posted 17 days ago
Job 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 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.
  • Creative.
  • 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.

About HP

You're out to reimagine and reinvent what's possible-in your career as well as the world around you.

So are we. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

Our history: HP's commitment to diversity, equity and inclusion - it's just who we are.

From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Come to HP and thrive!

HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.


Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Master's Degree
Required Experience
2 to 4 years
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