Staff Data Scientist, GTM Analytics & AI Strategy

salesforce.com, inc.; New York (NY); On-site; USD 173,000 - 286,000; Full time

Job summary

Salesforce is seeking an experienced Staff Data Scientist to support Slack's Go-to-Market organization. You will collaborate with Sales Strategy, Product, Finance, and Data teams to uncover opportunities that accelerate growth and improve customer outcomes.

You will apply advanced analytics, experimentation, and predictive modeling to inform GTM decisions, design measurement systems, and enable smarter decisions at scale.

Qualifications

• 6+ years of data science or analytics experience in a business setting.
• Strong SQL and at least one data-science language (Python, R, or Scala).
• Knowledge of statistics, experimentation, causal inference, predictive modeling.
• Experience with large-scale data tools such as Spark, Presto, Hive, Hadoop.
• Proven ability to communicate complex findings to executives and cross-functional teams.
• Experience partnering with GTM, Sales, Product, or Finance teams to influence decisions.

Responsibilities

• Partner with GTM leadership to identify strategic opportunities and influence decisions.
• Apply statistics, experimentation, and analytics to understand customer behavior and growth drivers.
• Develop predictive models, segmentation, and forecasting for GTM planning.
• Design measurement strategies and success metrics for products and programs.
• Conduct deep-dive analyses to identify opportunities for revenue growth and efficiency.
• Build scalable analytical frameworks and trusted datasets with Data Engineering.
• Collaborate with Product and Sales Strategy to translate insights into recommendations.
• Translate complex analyses into executive-level narratives and dashboards.
• Champion evidence-based decision making across the GTM organization.

Skills

SQL

Python

R

Scala

Statistics

Experimentation

Communication

Education

Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, Engineering, or equivalent practical experience

Master's degree or PhD in Statistics, Computer Science, Economics, Mathematics, OR related quantitative discipline

Tools

Apache Airflow

Spark

Presto

Hive

Hadoop

Job description

Salesforce is seeking an experienced Staff Data Scientist to support Slack's Go-to-Market organization. You will collaborate with Sales Strategy, Product, Finance, and Data teams to uncover opportunities that accelerate growth and improve customer outcomes.

You will apply advanced analytics, experimentation, and predictive modeling to inform GTM decisions, design measurement systems, and enable smarter decisions at scale.