Decision Scientist Lead

Salesforce•San Francisco, CA

About The Position

Salesforce’s Data Solutions team provides trusted data and artificial intelligence to inform business decisions. This role leads the team developing the data foundation, metrics, and insights for Data 360. The Decision Scientist Lead serves as a thought leader and trusted advisor to Technology and Product (T&P) leaders, including the General Manager, COO, Product Owners, and other cross-functional decision makers. The role contributes to a high-achieving, fast-paced team of analysts, data engineers, and visualization engineers. The team works with cross-functional partners to understand business problems, gather and synthesize information, apply mathematical and statistical methods, explain outcomes using business context, and recommend actions. The position also informs the Data 360 product analytics roadmap and guides the team in prioritizing and solving complex, ambiguous problems. It develops the metrics and product insights needed to grow Data 360 adoption and consumption.

Requirements

At least 8 years of experience as a data science or analytics professional, with demonstrated impact through modeling and/or analytics.
MBA or master’s degree in technology, computer science, computer engineering, economics, applied math, statistics, engineering, or another quantitative field.
Experience working directly with senior executive leadership.
Experience delivering enterprise-scale predictive modeling initiatives and applications.
Excellent written and verbal communication skills, with the ability to work with executives and technologists and lead and influence across organizational levels.
Proficiency in statistics or machine learning, data manipulation, product analytics, and statistical analysis.
Proficiency in Python or R, particularly 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 ability, including simplifying problems and finding creative solutions.
Experience using 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 other cross-functional decision makers leading Data 360.
Collaborate with analysts, data engineers, visualization engineers, and cross-functional teams to understand business problems, synthesize data, test hypotheses, explain results, and recommend actions.
Develop deep relationships with key company partners and coordinate with working teams.
Inform development and execution of the Data 360 product analytics roadmap, including delivery of data products, dashboards, and other analytical work related to Data 360 and associated products.
Establish the team roadmap with cross-functional partners, prioritize high-impact work, and guide the team in solving ambiguous and complex problems.
Develop metrics and product insights to help Salesforce grow Data 360 adoption and consumption.