1

Decision Scientist Jobs (NOW HIRING)

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 ...

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 ...

About the Job We're hiring a Lead Decision Scientist (web) to be a strategic partner embedded with Direct To Consumer (DTC), web product, web engineering, marketing, and finance teams. People who ...

About the Job We're hiring a Lead Decision Scientist to be strategic partners embedded with product, engineering, marketing, and finance teams. People who shape what gets built, how we grow, and ...

next page

Showing results 1-20

Decision Scientist information

See salary details

$14

$63

$98

How much do decision scientist jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for decision scientist in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $83.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Decision Scientist position, and why are they important?

To thrive as a Decision Scientist, you need strong analytical skills, expertise in statistics and data modeling, and typically an advanced degree in a quantitative discipline like data science, operations research, or applied mathematics. Familiarity with data analysis tools such as Python, R, SQL, as well as experience with machine learning libraries and decision optimization platforms, is highly valued. Exceptional problem-solving ability, effective communication, and the capacity to translate complex analytical findings into actionable business recommendations are key soft skills. These competencies are crucial for driving data-driven decision making that maximizes organizational impact and efficiency.

What is a Decision Scientist job?

A Decision Scientist leverages data, statistical analysis, and machine learning techniques to guide business decision-making. They focus on extracting insights from structured and unstructured data to optimize strategies and solve complex problems. Unlike a data scientist who primarily builds models, a decision scientist emphasizes actionable insights and interpretable recommendations. They work closely with stakeholders to drive data-driven decisions in areas like pricing, operations, and customer engagement.

What are the typical day-to-day responsibilities of a Decision Scientist?

Decision Scientists generally spend their days gathering and analyzing large data sets, building predictive or optimization models, and communicating their findings to stakeholders. They regularly collaborate with cross-functional teams—such as product managers, engineers, and business strategists—to frame business problems and develop data-driven solutions. In addition to technical work, they often present insights in clear, impactful ways and may help guide strategic decision-making at both operational and executive levels. This mix of analytical tasks and cross-team collaboration makes the role both dynamic and integral to organizational success.

More about Decision Scientist jobs
What cities are hiring for Decision Scientist jobs? Cities with the most Decision Scientist job openings:
What are the most commonly searched types of Decision Scientist jobs? The most popular types of Decision Scientist jobs are:
What states have the most Decision Scientist jobs? States with the most job openings for Decision Scientist jobs include:
Infographic showing various Decision Scientist job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $133,020 per year, or $64 per hour.
Principal Decision Scientist

Principal Decision Scientist

Salesforce, Inc.

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

101st of 190 rated software companies


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

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.

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.

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 andbe your best, and our AI agents accelerate your impact so you cando 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 Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to 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. 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.

What Salesforce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom