Lead Decision Scientist

Salesforce

San Francisco, California, United States
Base: $172,500 - $260,100 annually; bonus/equity: ...
8+ years quantitative experience
Causal inference expertise
Python or r proficiency
This senior individual contributor role offers real executive visibility to pioneer how an enterprise thinks about AI reliability and impact

Job Summary

  • This senior individual contributor role offers real executive visibility to pioneer how an enterprise thinks about AI reliability and impact.
  • You will build measurement frameworks that define how agentic systems are evaluated and run high-stakes experiments to shape business strategy.
  • Salesforce provides comprehensive benefits including medical, dental, vision, paid parental leave, and a 401(k) matching program.

Matching Summary

This senior individual contributor role offers real executive visibility to pioneer how an enterprise thinks about AI reliability and impact.

Salary

Base: $172,500 - $260,100 annually; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k), paid parental leave

Skills & Requirements

Must-have

  • 8+ years quantitative experience
  • Causal inference expertise
  • Python or R proficiency
  • Expert SQL skills
  • High-dimensional regression

Nice-to-have

  • LLM evaluation metrics familiarity
  • Agentic AI product experience
  • Experimental economics background
  • Operations research background

Key Requirements

  • Related technical degree required
  • 8+ years in quantitative role
  • Production deployment of causal models

Work Rights

Not specified

Tailored Resume

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