Leading Data Science Strategist for Global Supply Chain Optimization
hace 24 horas
**About the Role**
We are seeking an experienced Data Science Senior Manager to lead our AI for Inventory & Product placement team within the GTM Advanced Analytics organization at Hewlett Packard Enterprise. As a key member of our team, you will design, develop, and validate state-of-the-art data science models to maximize forecasting accuracy in our global sales and inventory forecasts.
**Responsibilities**
- Implement advanced statistical and machine learning methodologies to analyze extensive datasets and extract actionable insights.
- Analyze and integrate various factors impacting inventory and supply chain decisions into data science models, including pricing, promotions, inflation, and more.
- Design, develop, and validate forecasting pipelines using R or Python, ensuring no leakage and addressing signals drift.
- Collaborate with MlOps and engineers to ensure scalability and efficiency of the forecasting pipeline, monitoring accuracy at scale across thousands of products and distributors.
**Requirements**
We require a PhD degree in Business Analytics, Statistics, or a related field, as well as proven experience in leading data science teams and working with Pyspark, Pytorch, or Keras. Experience with Git, cloud-based notebooks, SQL, and PowerBI is a plus. You should have strong proficiency in designing, developing, and validating advanced machine learning techniques in Python.
**What We Offer**
Hewlett Packard Enterprise offers a competitive salary of $250,000 per year, depending on location and experience. Our benefits package includes health insurance, retirement savings plan, and paid time off. We also offer opportunities for professional growth and development in a dynamic and innovative company.
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