Principal Researcher, Es Research & Insights

Salesforce

Base: $164,000 - $261,500 annually; bonus/equity: ...
Not specified (assumed hybrid/remote given the nature of the role)
Machine learning model development
Python r sql proficiency
Executive stakeholder management
Salesforce is seeking a Principal Researcher for their Es Research & Insights team, focusing on machine learning to enhance workforce intelligence. The role involves partnering with executive leadership to set strategic research priorities and develop models that provide actionable insights for organizational success

Job Summary

  • This role involves partnering with C-suite stakeholders to set strategic research priorities using deep technical expertise in machine learning.
  • The position requires leading the development of robust predictive models and causal identification strategies to generate forward-looking organizational insights.
  • Salesforce offers a comprehensive benefits package including medical, dental, vision, mental health support, paid parental leave, and an employee stock purchasing program.

Matching Summary

Match Score: 85

Salesforce is seeking a Principal Researcher for their Es Research & Insights team, focusing on machine learning to enhance workforce intelligence. The role involves partnering with executive leadership to set strategic research priorities and develop models that provide actionable insights for organizational success.

Salary

Base: $164,000 - $261,500 annually; Bonus/Equity: Not specified (eligible for incentive compensation); Benefits: Medical, dental, vision, 401(k), paid parental leave

Skills & Requirements

Must-have

  • Machine Learning model development
  • Python R SQL proficiency
  • Executive stakeholder management
  • Causal identification strategies
  • MLOps infrastructure oversight

Nice-to-have

  • Peer-reviewed publication history
  • LLM and RAG expertise
  • Inclusive workforce strategy design
  • Human-centric talent modeling
  • Advanced statistical methods

Key Requirements

  • Master's or PhD in quantitative field
  • 10+ years in data science or applied research
  • Expert-level Python R and SQL skills
  • Experience architecting secure data enclaves

Work Rights

Not specified

Tailored Resume

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