Decision Scientist Lead

Salesforce•San Francisco, CA

8d•$172,500 - $285,800

About The Position

Salesforce’s Data Solutions team develops trusted data, metrics, and insights to inform business decisions. The Decision Scientist Lead will lead the team developing the data foundation, metrics, and insights for Data 360. The role serves as a thought leader and trusted advisor to T&P leaders, including the General Manager, COO, Product Owners, and other cross-functional decision makers. The position contributes to a fast-paced team of analysts, data engineers, and visualization engineers. It partners with teams to understand business problems, synthesize data, apply mathematical and statistical methods, interpret results in business context, and recommend actions. The role informs the Data 360 product analytics roadmap and guides the team in prioritizing impactful work and solving complex, ambiguous problems.

Requirements

At least 8 years of demonstrated experience as a data science or analytics professional, with a record of impact through modeling and/or analytics.
MBA or master’s degree in technology, computer science, computer engineering, economics, applied mathematics, statistics, engineering, or another quantitative field.
Experience working directly with senior executive leadership and delivering enterprise-scale predictive modeling initiatives and applications.
Excellent written and verbal communication skills, including the ability to work with executives and technologists and influence across organizational levels.
Demonstrated ability to think creatively and solve difficult problems.
Proficiency in statistics or machine learning, data manipulation, product analytics, and statistical analysis.
Proficiency in Python or R, specifically the PyData stack, including Pandas, NumPy, SciPy, Statsmodels, and Scikit-learn.
Mastery of SQL for complex data extraction, feature engineering, and performance tuning in cloud data warehouses.
Strategic problem-solving skills, including simplifying problems and finding creative solutions.
Experience leveraging AI tools to enhance work.
Bias toward action and impact.
Willingness to work across a global team and time zones.

Responsibilities

Serve as a thought leader and trusted advisor to T&P leaders, including the General Manager, COO, Product Owners, and cross-functional decision makers leading Data 360.
Contribute to a team of analysts, data engineers, and visualization engineers to understand business problems, gather information, analyze data, test hypotheses, and make recommendations.
Build deep relationships with key partners across the company and coordinate with working teams.
Inform development and execution of the Data 360 product analytics roadmap, including releasing data products, dashboards, and other analytical work related to Data 360 and associated products.
Collaborate with cross-functional partners to establish the team roadmap, prioritize impactful work, and guide solutions to ambiguous and complex problems.
Develop metrics and product insights to support growth in Data 360 adoption and consumption.