Salesforce
Decision Scientist Lead
$172K–$286K
California - San Francisco +1 · Office Tech-Flexible · Full-time · Posted Oct 28, 2026
- Location
- California - San Francisco
New York - New York - Experience
- 8+ years of experience as a data science or analytics professional.
- Education
- MBA or Master’s in Technology (computer science, computer engineering, economics, applied math, statistics, engineering, or other quantitative field).
About the job
Leads analytics and data science work that builds metrics, insights, and data products to guide the Data 360 roadmap and increase product adoption and consumption.
What you'll do
- Advise senior leaders and collaborate with cross-functional teams to solve complex business problems using analytics and recommendations.
- Guide the Data 360 product analytics roadmap, including data products, dashboards, and other analytical work.
- Develop metrics and product insights to support Data 360 adoption and consumption.
What they ask for
- MBA or master’s degree in technology or a quantitative field.
- Experience working directly with senior executives and delivering enterprise-scale predictive modeling initiatives and applications.
- Proficiency in statistics or machine learning, product analytics, and statistical analysis; adept proficiency in Python or R.
- Mastery of SQL for complex data extraction, feature engineering, and performance tuning in cloud data warehouses.
Nice to have
- Experience leveraging AI tools to enhance work.
Pay
$172,500 - $260,100 annually (base salary); $207,800 - $285,800 annually (base salary)
Tools
Python, R, Pandas, NumPy, SciPy, Statsmodels, Scikit-learn, SQL
AI focus
Use AI tools to enhance work; Salesforce also states that it uses AI tools to help recruiters assess and evaluate candidates’ resumes and qualifications, with humans making hiring decisions.
Model-written summary · the original posting is authoritative