Lead 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. Salesforce's Data & Analytics organization is looking for a Decision Scientist who thrives at the intersection of AI, automation, and rigorous quantitative analysis. In this role, you'll build the measurement frameworks that define how we evaluate agentic systems, run high-stakes experiments, and directly shape product and business strategy through data-driven storytelling. This is a senior individual contributor role with real executive visibility and the opportunity to pioneer how an enterprise thinks about AI reliability and impact. What You'll Do Build evaluation frameworks for AI systems — Design and scale methodologies to assess the performance, reasoning quality, and reliability of agentic workflows, including LLM-as-a-judge metrics and approaches tailored to non-deterministic outputs. Solve complex attribution problems — Develop causal inference models that distinguish true incremental gains from organic trends, using the right modeling technique for each problem. Lead experimental design — Own the design and analysis of sophisticated experiments — from multivariate and switchback designs to quasi-experimental methods for environments where randomization isn't feasible. Set the statistical standard — Serve as the department's final reviewer for statistical methodology, ensuring rigor is appropriately calibrated to the stakes of each analysis. Influence strategy through storytelling — Translate complex quantitative findings into clear, actionable narratives for executive leadership, shaping both the product roadmap and long-term business direction. What We're Looking For Required Qualifications 8 years of experience in a quantitative role, with a proven track record deploying causal models or experimental frameworks in production environments Deep expertise in causal inference, high-dimensional regression, time-series analysis, and forecasting Strong proficiency in Python or R (PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn) Expert-level SQL skills for complex data extraction, feature engineering, and query performance tuning in cloud data warehouses (e.g., Snowflake, BigQuery) Demonstrated ability to communicate statistical findings clearly to non-technical executive audiences Preferred Qualifications Familiarity with LLM evaluation metrics and the unique statistical challenges of non-deterministic AI systems Experience working on or alongside agentic or AI product teams Background in experimental economics or operations research Education A related technical degree required. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this ... (truncated, view full listing at source)