Decision Scientist Lead - Cloud Analytics

Salesforce•San Francisco, CA

1d•Remote

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Agentforce is the future of AI, and you are the future of Salesforce. Data Solutions is the force that propels Salesforce into the AI era, informing—through trusted data and artificial intelligence—the path forward to be smarter in every dimension. Cloud Analytics operates as the strategic product analytics engine, partnering directly with cloud leadership to drive high-stakes decision-making through rigorous metrics and insights. Sitting within Cloud Analytics as a forward-deployed partner to AgentExchange, this role collaborates hand-in-hand with product, engineering, and data leadership to co-build the foundations, core metrics, strategic insights, and autonomous agents driving the product forward.

Requirements

8+ years of hands-on experience in data science, decision science, or advanced analytics, with a proven track record of deploying analytical models that move business needles.
Demonstrated experience architecting agentic workflows, orchestrating LLMs, or building automated, self-correcting data science systems.
High proficiency in statistical programming languages (Python or R) and modern data science stacks, along with exceptional SQL skills for complex feature engineering and database performance tuning.
Master’s degree or MBA in a highly quantitative discipline (e.g., Computer Science, Engineering, Economics, Statistics, or Applied Mathematics).
Exceptional communication skills with the ability to build trust with C-suite executives, align technical teams, and tell a compelling story with data.
A "get-it-done" mindset with a strong bias for action, comfortable operating with high autonomy in a global, matrixed environment.

Responsibilities

Apply rigorous quantitative and statistical methods, including experimentation, causal inference, tradeoff analysis, and modeling under uncertainty to inform product initiatives and diagnose complex business challenges.
Serve as a trusted advisor and thought leader to senior T&P leadership (including the GM, COO, and Product Owners), translating complex analytical insights into clear, high-impact business strategies.
Architect, evaluate and govern autonomous AI agents to automate complex data science tasks, scaling our capability to deliver descriptive and prescriptive analytics at enterprise speed.
Incorporate AI solutions into daily analytical workflows to drive faster time-to-insight.
Partner with cross-functional squads of analysts and engineers to diagnose complex business problems—applying rigorous quantitative methods and business context to provide clear descriptive analysis and actionable prescriptive solutions.
Collaborate with cross-functional leaders to define the AgentExchange product analytics roadmap, prioritizing initiatives that drive maximum value and scale.
Define and track the critical product metrics required to accelerate AgentExchange adoption and long-term customer value.
Elevate the team's technical bar by establishing best practices for statistical rigor and agentic engineering, while mentoring peers across the broader Cloud Analytics organization.