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Decision Science Jobs in California (NOW HIRING)

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Decision Science information

See California salary details

$10.9K

$74.6K

$97.2K

How much do decision science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for decision science in California is $74,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a decision science?

A Decision Science job involves using data, analytics, and mathematical models to guide business decisions. Professionals in this field apply statistical analysis, machine learning, and optimization techniques to solve complex problems. They work closely with stakeholders to translate data insights into strategic actions. Decision Science roles are common in industries like finance, healthcare, marketing, and technology. The goal is to enhance decision-making processes by leveraging data-driven approaches.

What kind of jobs use decision science?

Decision science is used in roles such as data analysts, data scientists, operations researchers, and business analysts, where analyzing data and modeling decision-making processes are essential. These jobs often require skills in statistics, data visualization, and tools like Python, R, or SQL to inform strategic choices across industries like finance, healthcare, marketing, and technology.

Is decision science a good career?

Decision science is a growing field that involves analyzing data to inform strategic choices, often requiring skills in statistics, data analysis, and programming. It offers opportunities in various industries such as finance, healthcare, and technology, with roles typically requiring a strong analytical background and proficiency in tools like Python or R. The career can be rewarding for those interested in data-driven decision making and problem-solving.

What are the key skills and qualifications needed to thrive in decision science?

To excel in Decision Science, you need a strong background in statistics, mathematics, data analysis, and business acumen, often supported by a degree in data science, economics, or a related field. Expertise with tools like Python, R, SQL, data visualization platforms, and familiarity with machine learning models or certifications is highly valuable. Strong problem-solving, critical thinking, and communication skills distinguish top performers in this role. Combining these abilities allows professionals to turn complex data into strategic insights that drive effective business decisions.

What does a decision science do?

In a Decision Science role, your day often involves analyzing large datasets, building predictive models, and interpreting results to help inform business strategies or solve operational problems. You may collaborate closely with cross-functional teams such as product, marketing, and engineering to translate insights into actionable recommendations. Other daily activities typically include exploratory data analysis, preparing reports or visualizations, and presenting findings to both technical and non-technical stakeholders. This role offers fast-paced, intellectually rewarding work with ample opportunity for professional growth in both technical and strategic career paths.

Infographic showing various Decision Science job openings in California as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $74,634 per year, or $35.9 per hour.

Director, Decision Science

Salesforce, Inc.

San Francisco, CA • On-site

$197.30 - $313.70/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 242 rated software companies


Job description

Director, Decision ScienceSkip to main content#Director, Decision Science page is loaded## Director, Decision ScienceApplyremote type: Office Tech-Flexiblelocations: California - San Francisco: California - Palo Altotime type: Full timeposted on: Posted Todayjob requisition id: JR342035*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 CategoryDataJob 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.Department Overview - Data Solutions is the engine powering Salesforce's Agentic Enterprise — delivering trusted data and AI-driven insights that help the business act smarter, faster, and with greater confidence. As the strategic partner to all data trailblazers at Salesforce, the Data Solutions team provides the unbiased foundation that connects financial forecasting, customer health, and product adoption intelligence to the decisions that matter most. This role will lead the decision science team developing data foundation, metrics and insights that fuel Salesforce's Customer 360 Apps, ensuring AI agents and human decision-makers alike can act on reliable, curated, and trusted data.Responsibilities* Be the enterprise data and analytics thought leader across Salesforce’s C360 Apps, shaping the long-term data strategy and acting as a trusted advisor to senior executives (GM, VP, and SVP levels) across Product, Engineering, and Go-to-Market.* Lead a high-performing, multi-disciplinary data team (analytics, data engineering, and visualization) with a focus on scalability, innovation, and measurable business impact; establish a culture of excellence, accountability, and continuous improvement.* Define and drive the strategic vision and multi-quarter roadmap for product analytics, aligning data investments with company priorities and ensuring delivery of high-impact data products, platforms, and insights at scale.* Operate as a cross-functional executive partner, influencing product and business strategy through data; proactively identify opportunities, shape decision-making frameworks, and drive alignment across complex stakeholder groups.* Establish best-in-class operating models for analytics delivery, including prioritization frameworks, resource allocation, and execution rigor; ensure consistent, high-quality output across multiple concurrent initiatives.* Lead the definition of north-star metrics, KPI frameworks, and measurement systems to drive product adoption, customer success, and revenue growth; embed data-driven decision-making across product and business teams.* Drive organizational impact by translating complex data into clear narratives and actionable insights for executive audiences, influencing company-level strategy and investment decisions.* Develop and grow a team of specialized ICs; establish clear career paths, succession planning, and leadership development while upskilling teams to leverage modern AI technologies (e.g., LLMs such as Claude, Agentforce) as a core part of their analytical workflow and decision-making practice.* Champion data as a strategic asset across Salesforce, promoting best practices in AI-driven analytics to unlock new product and business value.Required Skills* 10+ years overall experience in data science or analytics, including 5+ years leading high-performing teams and matrixed partners.* AI fluency — ability to apply LLMs, Copilots, and agent-based analytics tools (e.g., Claude, Agentforce) to accelerate insight generation, automate analysis, and embed AI into team workflows* MBA or Master’s in a quantitative field (computer science, economics, statistics, engineering, or equivalent) preferred.* Hands-on familiarity with Salesforce's core platform and product suite is a plus — including Data Cloud, CRM Analytics, Agentforce, and Customer 360 Apps* Trusted executive partner to VP, SVP, and EVP leaders, influencing company-wide priorities, framing strategic decisions, and representing the function in executive forums.* Experience defining data strategy, metric frameworks, governance standards, and scalable analytical solutions, with enough technical depth to guide tradeoffs in scalable analytical system design* Exceptional communicator who can synthesize ambiguity into clear strategy and translate complex data into compelling narratives for executive audiences* Demonstrated ability to lead through ambiguity, structure complex problems, and develop innovative, data-driven solutions with measurable business impact.* Proficient (5+ years) in statistics or machine learning, strong data manipulation, product analytics, and statistical analysis skills, with advanced SQL, R, SAS, or Python experience.* Inspiring leader with a track record of driving multiple large initiatives concurrently across cross-functional teams (Product, Engineering, Customer Success, Product Marketing and more).* Strong execution discipline, prioritization skills, and ability to make timely decisions in dynamic environments.* Ability to build, develop, and retain top talent while scaling an AI-native analytics organization.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do 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.AccommodationsIf 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 StatementSalesforce 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.### ### ### ###### About UsWe're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well *and* doing good – you've come to the right place. #J-18808-Ljbffr

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