Staff Data Scientist: GTM Analytics & Modeling

Salesforce; San Francisco (CA); On-site; USD 173,000 - 260,000; Full time

Benefits offered by this job

Time off programs

Medical

Dental

Vision

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce is seeking a Staff Data Scientist to support Slack's Go-to-Market organization. You will partner with Sales Strategy, Sales Programs, Product, Finance, and Data teams to uncover opportunities that accelerate growth and shape GTM strategy through data.

You will apply advanced analytics, experimentation, and statistical methods to understand customer behavior, evaluate initiatives, and optimize GTM performance, helping define analytical frameworks and scalable models for smarter,

Qualifications

• 6+ years of industry experience applying data science, statistics, or quantitative analysis to solve complex business problems.
• Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.
• Strong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem solving.
• Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms.
• Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences.
• Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions.
• Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, Engineering, or another quantitative field, or equivalent practical experience.

Responsibilities

• Partner with GTM leadership to identify strategic opportunities, evaluate business performance, and influence key business decisions.
• Apply statistical methods, experimentation, and advanced analytics to understand customer behavior, sales performance, and drivers of business growth.
• Develop predictive models, segmentation frameworks, and forecasting methodologies that improve GTM planning and execution.
• Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives.
• Conduct deep-dive analyses to identify opportunities for revenue growth, customer adoption, operational efficiency, and field productivity.
• Build scalable analytical frameworks that uncover trends, quantify business impact, and support executive decision making.
• Partner with Data Engineering to develop trusted datasets and scalable analytical foundations that enable advanced modeling and experimentation.
• Collaborate with Product and Sales Strategy to develop intelligence solutions that connect account health, product usage, customer engagement, and seller actions into actionable recommendations.
• Translate complex analyses into compelling narratives, executive presentations, dashboards, and written recommendations tailored to both technical and non-technical audiences.
• Champion evidence-based decision making by improving access to trusted metrics, analytical methodologies, and strategic insights across the GTM organization.

Skills

SQL

Python

R

Scala

Statistics

Experimentation

Causal inference

Spark

Communication

Cross-functional

Education

Bachelor's degree in CS/Statistics/Economics/Math/Engineering

Tools

Airflow

Spark

Presto

Hive

Hadoop

Job description

Salesforce is seeking a Staff Data Scientist to support Slack's Go-to-Market organization. You will partner with Sales Strategy, Sales Programs, Product, Finance, and Data teams to uncover opportunities that accelerate growth and shape GTM strategy through data.

You will apply advanced analytics, experimentation, and statistical methods to understand customer behavior, evaluate initiatives, and optimize GTM performance, helping define analytical frameworks and scalable models for smarter,