Supply Chain Data Scientist
| Company | Hewlett Packard (HP) |
|---|---|
| Location | Palo Alto, CA, USA, Spring, TX, USA, Vancouver, WA, USA |
| Salary | $154000 – $237150 |
| Type | Full-Time |
| Degrees | Master’s, MBA |
| Experience Level | Expert or higher |
Requirements
- 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: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area
- 10+ years of experience
- Expertise with inventory optimization math and deployment of the mathematical formulas into a business process
- Applied experience with machine learning and optimization on large datasets
- Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel
- Experience with GenAI
- 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-paced environment
- 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, and spreadsheet modelling
Responsibilities
- Collaborate & Strategize: Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership.
- Drive Supply Chain Innovation: Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making.
- Transform Data into Impact: Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value.
- Build & Scale Advanced Analytics Solutions: Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale.
- Enable Change & Adoption: Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization.
- Stay Ahead of the Curve: Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends.
Preferred Qualifications
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No preferred qualifications provided.