Salesforce

Principal Decision Scientist

Salesforce$197K — $313K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Statistics, Mathematics, Economics, Computer Science, Operations Research, or related field.
  • 10+ years in a quantitative role, deploying causal models or experimental frameworks.
  • Proficient in Python or R, especially the PyData stack (Pandas, NumPy, SciPy, Statsmodels, Scikit-learn).
  • Expert in SQL for data extraction, feature engineering, and cloud data performance tuning.
  • Deep knowledge of high-dimensional regression, time-series analysis, and forecasting techniques.
  • Familiar with LLM evaluation metrics and challenges of non-deterministic AI outputs.

Responsibilities

  • Develop and scale methodologies for evaluating agentic workflows and AI systems.
  • Build complex models for causal inference and attribution problems.
  • Lead experimental design and analysis, including multivariate and quasi-experimental designs.
  • Mentor junior team members and refine analytical methodologies.
  • Translate complex statistical findings into actionable narratives for executive leadership.

Benefits

  • Work in a dynamic environment at the intersection of analytics, AI, and automation.
  • Contribute to shaping the future of data-driven decision-making.
  • Opportunity to influence product and business strategy at a high level.
Full Job Description

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

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.

Join our innovative team and contribute to our data-driven success. Apply today to help us build and maintain the data infrastructure that drives our business forward.

About Salesforce

ExactTarget is a provider of on-demand email marketing software solutions. Their suite of on-demand one-to-one marketing applications enables clients to send business-critical and event-triggered communications to increase sales, optimize marketing investments, and strengthen customer relationships. They offer four editions of their on-demand software application along with integrated solutions such as ExactTarget for AppExchange and ExactTarget for [Microsoft](/organization/Microsoft) Dynamics CRM.

Salesforce Careers

Joining Salesforce means becoming part of a dynamic, global team of professionals who are deeply committed to driving customer success and innovation. As the world's leading Customer Relationship Management (CRM) platform, Salesforce offers unparalleled job opportunities in technology and consulting, making it an ideal place for ambitious individuals looking to make a significant impact.

Work You'll Do

At Salesforce, every position is a chance to leverage your skills and creativity to transform businesses and industries. Our diverse team of experts collaborates to deliver cutting-edge solutions that foster growth and enhance leadership capabilities. By joining our team, you'll be at the forefront of digital innovation, using Salesforce's powerful platform to help clients navigate their transformation journeys.

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Salesforce prides itself on a culture that values diversity, teamwork, and open communication. We believe that our strength lies in our people, and we're committed to creating an environment where everyone can thrive. Joining our team means being part of a supportive community that encourages networking and collaboration.

Benefits and Culture

At Salesforce, we understand that job satisfaction extends beyond the office. That's why we offer competitive benefits to support the health, well-being, and financial security of our employees and their families. From health insurance and retirement plans to wellness programs and flexible working arrangements, we provide the benefits that contribute to a better work-life balance.

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Size
73,541 employees
Market Cap
$130.4 billion
Industry
Net Income
$4 billion
Founded
2000
5 Year Trend
+25.7%
Revenue
$21.2 billion
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