Decision Scientist Lead - Cloud Analytics

Salesforce•Seattle, WA

3d•$172,500 - $285,800•Remote

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Data Solutions department propels Salesforce into the AI era, informing the path forward to be smarter in every dimension through trusted data and artificial intelligence. 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. This role, sitting within Cloud Analytics as a forward-deployed partner to AgentExchange, collaborates 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.