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Principal Data Scientist - Infrastructure Data Science

Salesforce is a leading customer relationship management (CRM) platform and cloud computing company.
$223,000 - $323,400
Data
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud
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Description For Principal Data Scientist - Infrastructure Data Science

We are seeking an innovative and driven Data Scientist with a strong focus on AI-driven solutions for large-scale infrastructure management to join our Cloud Economics and Capacity Management (CECM) team. In this role, you will apply advanced AI, machine learning, and time series forecasting techniques to optimize the performance, capacity, and cost-efficiency of Salesforce's global cloud infrastructure.

Key responsibilities include:

  • Designing and developing AI/ML solutions for cloud infrastructure management, capacity planning, and cost optimization
  • Building and maintaining predictive models for infrastructure demand and resource utilization
  • Optimizing cloud costs and efficiency through data science techniques
  • Collaborating with cross-functional teams to translate business needs into data-driven solutions
  • Monitoring and iterating on models to ensure accuracy and reliability
  • Influencing and driving innovation in AI for cloud management at scale

The ideal candidate will have:

  • 10+ years of data science experience
  • Advanced degree in Data Science, Machine Learning, Computer Science, or related field
  • Strong understanding of cloud platforms (AWS, GCP, or Azure)
  • Demonstrated leadership experience
  • Expertise in machine learning engineering, cloud platforms, programming (Python, SQL), and automation tools
  • Strong communication and collaboration skills

This role offers the opportunity to directly impact cloud cost efficiency and capacity planning through cutting-edge AI solutions, supporting Salesforce's mission to meet the evolving needs of millions of users worldwide while keeping costs under control.

Last updated 8 months ago

Responsibilities For Principal Data Scientist - Infrastructure Data Science

  • Design and develop AI/ML solutions for cloud infrastructure management
  • Build and maintain predictive models for infrastructure demand and resource utilization
  • Optimize cloud costs and efficiency using data science techniques
  • Collaborate with cross-functional teams
  • Monitor and iterate on models
  • Influence and drive innovation in AI for cloud management

Requirements For Principal Data Scientist - Infrastructure Data Science

Python
Kubernetes
  • 10+ years of data science experience
  • PhD or Master's degree in Data Science, Machine Learning, Computer Science, Engineering, or related field
  • Strong understanding of cloud platforms (AWS, GCP, or Azure)
  • Experience in applying AI and data science to infrastructure management
  • Demonstrated leadership experience
  • Strong analytical and problem-solving skills

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