
Decision Scientist Lead
San Francisco, CAFull-time$173–260K/yrPosted 1w agoStill listed 2 days ago
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Job overview
The Decision Scientist Lead will lead the team developing the data foundation, metrics, and insights for Data 360. The role partners with leaders and cross-functional teams to understand business problems, analyze data, inform product roadmap development, and guide work on complex problems. It also develops product analytics, data products, dashboards, and insights to support Data 360 adoption and consumption.
Skills & qualifications
Skills
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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
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 force that propels Salesforce into the 4th Industrial Revolution informing through trusted data and artificial intelligence the path forward to be smarter in every dimension. From financial forecasting, customer health, and adoption insights to the utmost trusted and curated data, the Data Solutions team is the unbiased partner to all data trailblazers at Salesforce. This role will lead the team developing data foundation, metrics and insights for Data 360
Responsibilities
- Thought leader and trusted advisor to the T&P leaders, specifically the General Manager, COO, Product Owners, and other Cross-functional decision makers leading Data 360.
- Contribute to a team of high-achieving, innovative, fast-paced team of analysts, data engineers, and visualization engineers that partners with cross-functional teams to understand the business problem, gather information, synthesize data, apply mathematical and statistical methods to test hypotheses, and overlay business context to know why something happened (descriptive analytics) and provide recommendations on what to do about it (prescriptive analytics).
- Master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams.
- Inform the product roadmap development and execution for Data 360 product analytics, including releasing data products, dashboards and other analytical work related to Data 360 and associated products.
- Foster deep collaboration with cross-functional partners to establish the roadmap for the team, prioritize the most impactful work, and guide the team in solving ambiguous and complex problems.
- Develop the metrics and product insights required for Salesforce to grow Data 360 adoption and consumption
Required Skills
- 8+ years of demonstrated experience as a data science or analytics professional, with a proven track record of delivering impact through modeling and/or analytics.
- MBA or Master’s in Technology (computer science, computer engineering, economics, applied math, statistics, engineering, or other quantitative field).
- Proven experience working directly with senior executive leadership, and delivering enterprise-scale predictive modeling initiatives and applications.
- Expert communicator in written and verbal form; ability to work well with executives, and technologists, and able to lead and influence across all levels of the organization.
- Proven experience thinking out-of-the-box and solving tough problems.
- Proficient in statistics or machine learning, strong data manipulation, product analytics, and statistical analysis skills
- Adept proficiency in Python or R (specifically the PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn).
- Mastery of SQL for complex data extraction, feature engineering, and performance tuning within cloud data warehouses
- Strategic problem solver who simplifies problems to their core elements and finds creative solutions.
- Experience leveraging AI tools to enhance your flow of work
- Get-it-done mindset with a strong bias towards action and impact
- Willingness to work across a global team and time zones
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 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.
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 $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
How this job compares
Set against the 4,830 open Data Scientist jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$173–260K/yr
- California median$156–236K/yr671 salary ranges
- US median$135–213K/yr3,705 salary ranges
This range's midpoint, $216K, is 8% above the California median midpoint ($200K) — in the middle half of Data Scientist salary ranges in California.
- Openings
- Olive Jobs lists 809 open Data Scientist jobs in California and 4,830 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,140 postings).
- Education
- This posting asks for a master's degree; 617 of the 4,830 open Data Scientist jobs (13%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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