Senior Decision Scientist

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. 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. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience 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. Delivering everything from financial forecasting and customer health to adoption insights and curated data, Data Solutions serves as the unbiased partner to every data trailblazer across Salesforce. As part of this organization, Product & Success Analytics operates as the strategic product analytics engine, partnering directly with CSG leadership to drive high-stakes decision-making through rigorous metrics and insights. Embedded directly within Success Analytics, this role serves as a strategic partner to product, engineering, and data leaders - co-building the foundational data architectures, key performance metrics, and AI-driven capabilities needed to propel product adoption. The Senior Decision Scientist will serve as a lead technical authority on the team, leveraging advanced data science, statistical modeling, and quantitative analytics to power mission-critical operational systems. In this role, you will own the modeling, data architecture, and statistical rigor behind product Adoption telemetry - systems that directly govern performance metrics and compensation target-setting across the organization for Sales & CSG. Working in tight partnership with Product Leadership, senior executive stakeholders, and cross-functional engineering teams, you will apply rigorous analytics to architect next-generation compensation and adoption metrics, drive automated data frameworks to scale M&A signal ingestion across incoming acquisitions, and enforce top-tier data trust and SLA reliability across underlying analytics pipelines. What You'll Actually Be Doing • Requirements & Data Discovery: Partner directly with business stakeholders to translate complex compensation strategies and operational goals into precise quantitative requirements and data definitions. • Impact Analysis & Historical Modeling: Perform deep-dive data exploration, scenario modeling, and historical backfills on underlying usage and telemetry tables to quantify the impact of proposed metric changes across Sales & CSG prior to rollout. • End-to-End Metric Build & Validation: Design, build, and statistically validate scoring logic and underlying data pipelines, ensuring calculations are robust, audit-ready, and resilient against edge cases. • M&A Signal Integration & Scalable Data Frameworks: Serve as the lead Decision Scientist for designing and executing M&A data integration frameworks, transitioning signal ingestion from a manual "pull" model to an automated "push" model to drop onboarding cycle times from weeks to days. • Strategic Advisory & Executive Alignment: Apply rigorous quantitative methods—including experimentation, causal inference, and tradeoff analysis—to inform product initiatives, advise senior leadership, and translate complex insights into clear business