Data Scientist

HPE (Hewlett Packard Enterprise)

San Jose, California, United States
Base: usd 155,500 - 315,000; bonus/equity: variabl...
Hybrid
Machine learning algorithm development
Python programming with pyspark and scikit-learn
Cloud-native microservice architecture
The Data Scientist builds scalable, data-driven solutions using advanced AI and machine learning techniques to solve mission-critical business problems and deliver measurable impact

Job Summary

  • The Data Scientist builds scalable, data-driven solutions using advanced AI and machine learning techniques to solve mission-critical business problems and deliver measurable impact.
  • HPE offers a hybrid work model with flexibility, a culture that embraces diversity and inclusion, and invests in personal and professional development.
  • The role involves collaboration with cross-functional teams to design, deploy, and monitor cloud-based AI solutions while contributing to innovation and integration of new technologies.

Matching Summary

The Data Scientist builds scalable, data-driven solutions using advanced AI and machine learning techniques to solve mission-critical business problems and deliver measurable impact.

Salary

Base: USD 155,500 - 315,000; Bonus/Equity: Variable incentives may be offered; Benefits: Comprehensive suite supporting physical, financial, and emotional wellbeing

Skills & Requirements

Must-have

  • Machine learning algorithm development
  • Python programming with PySpark and Scikit-learn
  • Cloud-native microservice architecture
  • AI and deep learning methodologies
  • Continuous integration and deployment pipelines
  • Data science solution operationalization
  • Agentic AI for networking problems

Nice-to-have

  • Strong written and verbal communication
  • Cross-functional team collaboration
  • Design thinking and innovation mindset
  • Security-first development approach
  • User experience (UX) awareness
  • Mentoring and team leadership
  • Data visualization skills

Key Requirements

  • Master's or PhD in quantitative discipline
  • 3-4 years experience in data science and AI
  • Experience with generative AI and large language models
  • Proficient in software engineering best practices
  • Knowledge of Kubernetes and containerized environments
  • Ability to work in hybrid office environment

Work Rights

Not specified

Tailored Resume

Cover Letter