Principal Decision Scientist

Salesforce

Base: $197,300 - $313,700 annually; premium locati...
Master's or phd in quantitative field
10+ years quantitative experience
Python r pydata stack proficiency
The role involves developing and scaling methodologies to evaluate the performance, reasoning, and reliability of agentic workflows and AI systems

Job Summary

  • The role involves developing and scaling methodologies to evaluate the performance, reasoning, and reliability of agentic workflows and AI systems.
  • Candidates will lead the design and analysis of complex experiments, moving beyond simple A/B testing into multivariate and quasi-experimental designs.
  • Salesforce offers a comprehensive benefits package including medical, dental, vision, paid parental leave, and an employee stock purchasing program.

Matching Summary

The role involves developing and scaling methodologies to evaluate the performance, reasoning, and reliability of agentic workflows and AI systems.

Salary

Base: $197,300 - $313,700 annually; Premium locations (SF/NYC): $237,700 - $344,700 annually; Bonus/Equity: Not specified in base range

Skills & Requirements

Must-have

  • Master's or PhD in quantitative field
  • 10+ years quantitative experience
  • Python R PyData stack proficiency
  • Advanced SQL and cloud data warehouses
  • Causal inference and attribution modeling
  • Complex experimental design expertise

Nice-to-have

  • Familiarity with LLM evaluation metrics
  • Experience mentoring junior team members
  • Strategic influence on executive roadmap
  • Knowledge of non-deterministic AI outputs

Key Requirements

  • Master's or PhD required
  • 10+ years of relevant experience
  • Production deployment of causal models

Work Rights

Not specified

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