Lead Decision Scientist, Cloud Analytics & AI

Salesforce; San Francisco (CA); On-site; USD 173,000 - 260,000; Full time

Job summary

Salesforce is seeking a senior data scientist to lead enterprise analytics for AgentExchange. You will apply rigorous quantitative methods, design autonomous AI agents, and partner with cross‑functional teams to drive product analytics and insights at scale.

Ideal candidates have 8+ years in data science, a Master’s or MBA in a quantitative field, and proven ability to influence executives with data-driven narratives.

Qualifications

• 8+ years of hands-on data science or analytics with impact
• Experience architecting agentic AI workflows and LLM orchestration
• Strong Python/R and SQL, stk for feature engineering and tuning
• Master’s/MBA in quantitative field required

Responsibilities

• Inform product initiatives with rigorous quantitative methods
• Architect and govern autonomous AI agents for analytics
• Partner with analysts and engineers to deliver descriptive and prescriptive insights
• Define the AgentExchange analytics roadmap and metrics
• Mentor peers to raise statistical rigor and engineering standards
• Communicate insights effectively to C-suite leadership

Skills

8+ years data science

Agentic AI & Systems

Python

SQL

Executive presence

Autonomy in global environment

Education

Master’s or MBA (quantitative)

Tools

Python

R

SQL

Job description

Salesforce is seeking a senior data scientist to lead enterprise analytics for AgentExchange. You will apply rigorous quantitative methods, design autonomous AI agents, and partner with cross‑functional teams to drive product analytics and insights at scale.

Ideal candidates have 8+ years in data science, a Master’s or MBA in a quantitative field, and proven ability to influence executives with data-driven narratives.