Supply Chain Data Scientist

Hewlett Packard Enterprise

Hybrid
Predictive modeling and statistical analysis
Generative ai and llm engineering
Python, pandas, scikit-learn, sql
This role combines predictive analytics, machine learning, and Generative AI techniques to transform structured and unstructured data into scalable intelligence products

Job Summary

  • This role combines predictive analytics, machine learning, and Generative AI techniques to transform structured and unstructured data into scalable intelligence products.
  • The position requires building AI-powered copilots, Retrieval-Augmented Generation (RAG) systems, and intelligent knowledge assistants to enhance business processes.
  • HPE offers a hybrid work model with flexibility to manage work and personal needs while investing in career growth through specific development programs.

Matching Summary

This role combines predictive analytics, machine learning, and Generative AI techniques to transform structured and unstructured data into scalable intelligence products.

Skills & Requirements

Must-have

  • Predictive modeling and statistical analysis
  • Generative AI and LLM engineering
  • Python, Pandas, Scikit-learn, SQL
  • Databricks and PySpark platforms
  • Vector databases and semantic search
  • LangChain and LangGraph orchestration

Nice-to-have

  • Strong communication and presentation skills
  • Cross-functional teamwork across boundaries
  • Agile methodology and Scrum development
  • Executive level data storytelling
  • Business acumen for decision making

Key Requirements

  • Master's degree in Statistics, CS, or related field
  • Bachelor's degree with 2-3 years relevant experience
  • Experience with optimization and time series analysis

Work Rights

Not specified

Tailored Resume

Cover Letter