Senior Decision Scientist - AI & Product Analytics Leader

Salesforce; Seattle (WA); On-site; USD 149,000 - 224,000; Full time

Job summary

Salesforce is seeking a data-driven analytics professional to join the Data Solutions team in Seattle, driving AI-enabled decision support and product analytics. You will collaborate with product managers, engineers, and data leaders to advance the AgentExchange analytics roadmap and deliver measurable insights across initiatives.

The role requires 5+ years in data science or related fields, expertise in Python or R and SQL, and a Master’s degree or equivalent.

Qualifications

• 5+ years in data science, decision science, or quantitative analytics.
• Experience building agentic AI workflows and automating data pipelines.
• Proficient in Python or R and advanced SQL.
• Master’s degree or Bachelor’s with equivalent practical experience in a quantitative field.
• Strong written and verbal communication, ability to synthesize complex data.
• Independent, proactive mindset in a dynamic team environment.

Responsibilities

• Apply quantitative methods to inform product initiatives and diagnose challenges.
• Partner with product managers and engineers to translate analytics into actionable insights.
• Architect and govern autonomous AI agents to accelerate analysis and decision-making.
• Contribute technical expertise to the analytics product roadmap and delivery.
• Define, build, and track key metrics for adoption and engagement.
• Mentor peers and uphold high standards for code quality and documentation.

Skills

Data science

Agentic AI

Python

SQL

Communication

Ownership

Education

Master’s degree or Bachelor’s with equivalent practical experience

Job description

Salesforce is seeking a data-driven analytics professional to join the Data Solutions team in Seattle, driving AI-enabled decision support and product analytics. You will collaborate with product managers, engineers, and data leaders to advance the AgentExchange analytics roadmap and deliver measurable insights across initiatives.

The role requires 5+ years in data science or related fields, expertise in Python or R and SQL, and a Master’s degree or equivalent.