Decision Scientist Senior

Salesforce
San Francisco, Seattle
Workplace: OnsiteFull timeUSD 148,500 - 223,900 annuallyFunction: Research & Scientific (R&D)Experience: 5+ yearsEducation: mastersSkills: ["Communication","Collaboration","Technical rigor","Code quality","Bias for action"]

Apply rigorous decision science and statistical methods—experimentation, causal inference, and modeling under uncertainty—to guide product initiatives and diagnose complex business challenges. Partner with product and engineering leaders to turn analytical findings into clear recommendations. Architect and govern autonomous, agentic AI systems and integrate LLM-driven workflows into daily analytics for faster time-to-insight. Help drive the AgentExchange product analytics roadmap, define KPIs, and provide informal mentorship.

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FursaFursa
Salesforce
Salesforce
4 days ago

Decision Scientist Senior

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Last checked: 23 hours agoStatus: Live

Job Summary

Apply rigorous decision science and statistical methods—experimentation, causal inference, and modeling under uncertainty—to guide product initiatives and diagnose complex business challenges. Partner with product and engineering leaders to turn analytical findings into clear recommendations. Architect and govern autonomous, agentic AI systems and integrate LLM-driven workflows into daily analytics for faster time-to-insight. Help drive the AgentExchange product analytics roadmap, define KPIs, and provide informal mentorship.
Location: San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Use rigorous quantitative and statistical methods (experimentation, causal inference, tradeoff analysis, uncertainty modeling) to inform product initiatives and business decisions.
  • •Collaborate with product and engineering partners to translate analytical findings into actionable recommendations.
  • •Architect, evaluate, and govern autonomous agentic AI systems to automate complex data science tasks and improve decision systems.
  • •Contribute to the AgentExchange product analytics roadmap and take end-to-end ownership of project execution and delivery.
  • •Define, build, and track KPIs to monitor adoption, feature health, and long-term user engagement; provide informal mentorship to peers.

Pay and Benefits

Salary: USD 148,500 - 223,900 annually
Perks:Health InsuranceDentalVisionParental LeaveLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •5+ years of hands-on experience in data science, decision science, or quantitative analytics delivering models and insights that influence product strategy.
  • •Practical experience building agentic workflows, integrating LLMs, or automating complex data pipelines using modern AI frameworks.
  • •Strong proficiency in statistical programming languages (Python or R) and advanced SQL for data extraction and feature engineering.
  • •Master’s degree (or Bachelor’s with equivalent practical experience) in a quantitative discipline such as Computer Science, Engineering, Economics, Statistics, or Applied Mathematics.
  • •Excellent written and verbal communication to synthesize technical details for product and business partners.
Experience:5+ years
Education:Master's in quantitative discipline (e.g., Computer Science, Engineering, Economics, Statistics, or Applied Mathematics)
Skills:CommunicationCollaborationTechnical rigorCode qualityBias for action
Tech Stack:PythonRSQLLLMsLLM integrationAI frameworks

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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