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
• 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.

Where legally permitted, an offer of employment is conditional upon you providing proof that you are fully vaccinated against COVID-19 (as defined by the CDC) as of your first day of employment.

HP is an equal opportunity employer:

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