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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Decision Scientist Lead - Cloud Analytics - **Company:** Salesforce.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $172,500.0 - $260,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Python (Programming Language), Standard Sql, Feature Engineering, Large Language Models, Multi-Agent Systems, Database Optimization, Information Technology, Statistics Packages, Data Analytics, Build Tools, Virtual Agents - **Published:** August 4, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17806459?backUrl=%2Fcareer%2F17806459%2FDecision-Scientist-Lead-Cloud-Analytics-Washington-Seattle ## About the Role * Proven Experience: 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. * Agentic AI & Systems Engineering: Demonstrated experience architecting agentic workflows, orchestrating LLMs, or building automated, self-correcting data science systems. You don't just use AI; you build systems that leverage it. * Technical Mastery: 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. * Quantitative Foundation: Master's degree or MBA in a highly quantitative discipline (e.g., Computer Science, Engineering, Economics, Statistics, or Applied Mathematics). * Executive Presence: Exceptional communication skills with the ability to build trust with C-suite executives, align technical teams, and tell a compelling story with data. * Entrepreneurial Execution: A "get-it-done" mindset with a strong bias for action, comfortable operating with high autonomy in a global, matrixed environment. ## Description * Strategic Advisory: 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. * Agentic Systems & AI Lifecycle: 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. * Stakeholder Partnership: 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. * Roadmap Ownership: Collaborate with cross-functional leaders to define the AgentExchange product analytics roadmap, prioritizing initiatives that drive maximum value and scale. * Metrics & Growth: Define and track the critical product metrics required to accelerate AgentExchange adoption and long-term customer value. * Technical Leadership & Mentorship: 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. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Building a framework-independent component library](https://www.wearedevelopers.com/videos/1679-building-a-framework-independent-component-library) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)