Principal Decision Scientist

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, distinguishing between incremental gains and organic trends using various data science and modeling techniques.
• 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 a 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.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Note that Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see the Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to the use of AI tools and opt‑out options.

Posting Statement

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. An 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 any other classification protected by law. This policy 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.

Compensation and Benefits

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 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. The typical base salary range for this position is $197,300 - $313,700 annually, and in select cities within the San Francisco and New York City metropolitan area, the range 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.