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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.
Position Overview:
As a Decision Scientist within the Data & Analytics organization, you will collaborate with cross-functional teams to measure agentic impact, influence leaders with in-depth analysis, and strategically partner with Product Managers to shape the future of our work. You will work in a dynamic organization that sits at the intersection of analytics, AI, and automation, and is building the framework for the agentic enterprise in real time.
Core Responsibilities
- Agentic Evaluation Frameworks: Develop and scale methodologies to evaluate the performance, reasoning, and reliability of agentic workflows and AI systems.
- Causal Inference & Attribution: Build sophisticated models to solve complex attribution problems. You will distinguish between incremental gains and organic trends using various data science and modeling techniques at your disposal.
- Experimental Design: Lead the design and analysis of complex experiments, moving beyond simple A/B testing into multivariate testing, switchback experiments, and quasi-experimental designs for cases where randomization is impossible.
- Statistical Leadership: Refine and author methodologies, frameworks, analytical packages, and mentor junior team members.
- Strategic Influence: Translate complex statistical findings into clear, actionable narratives for executive leadership, influencing the long-term product and business roadmap.
Technical Requirements- Background: Master's or PhD in a highly quantitative field such as Statistics, Mathematics, Economics, Computer Science, Operations Research, or similar field.
- Experience: 10+ years of experience in a quantitative role, with a proven track record of deploying causal models or experimental frameworks in a production environment.
- Programming: Adept proficiency in Python or R (specifically the PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn).
- Data Retrieval: Mastery of SQL for complex data extraction, feature engineering, and performance tuning within cloud data warehouses (e.g., Snowflake, BigQuery).
- Modeling Mastery: Deep experience in high-dimensional regression, time-series analysis, and forecasting techniques.
- Agentic Systems: Familiarity with LLM evaluation metrics (LLM-as-a-judge) and the unique statistical challenges posed by non-deterministic AI outputs.
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
