Senior Decision Scientist: AI-Driven Product Analytics Lead

Salesforce, Inc.; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Salesforce, Inc. in San Francisco seeks a Senior Decision Scientist to lead modeling, data architecture, and adoption metrics. You will collaborate with product, engineering, and executive stakeholders to drive data-driven decisions and scalable analytics.

The role emphasizes M&A data integration, automated signal ingestion, and governance of AI-enabled analytics across compensation cycles, ensuring reliability and impact.

Qualifications

• 8+ years of hands-on experience in Data Science, Decision Science, Advanced Analytics, or Quantitative Product Analysis in enterprise SaaS environments.
• Master's degree or MBA in a highly quantitative discipline.

Responsibilities

• Translate complex compensation strategies into precise quantitative requirements and data definitions.
• Perform deep-dive data exploration, scenario modeling, and backfills to quantify metric changes.
• Design, build, and validate scoring logic and data pipelines with audit-ready outputs.
• Lead M&A data integration, automating signal ingestion to accelerate onboarding timelines.
• Advise leadership using rigorous quantitative methods and clear storytelling with data.
• Architect and govern autonomous AI agents to integrate AI into analytic workflows.
• Own analytical health, anomaly detection, and SLA improvements for reliability.

Skills

Data Science

Decision Science

Analytics

Python

SQL

Machine Learning

Leadership

Education

Master's degree in quantitative discipline

Tools

Python

R

SQL

Job description

Salesforce, Inc. in San Francisco seeks a Senior Decision Scientist to lead modeling, data architecture, and adoption metrics. You will collaborate with product, engineering, and executive stakeholders to drive data-driven decisions and scalable analytics.

The role emphasizes M&A data integration, automated signal ingestion, and governance of AI-enabled analytics across compensation cycles, ensuring reliability and impact.