Staff Data Scientist: Growth & Insights Leader

Salesforce

San Francisco (CA)

On-site

USD 173,000 - 260,000

Full time

4 days ago
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Job summary

Salesforce is seeking a Staff Data Scientist for the Business Data Science team to drive growth and decision making across the Slack Business Unit. The candidate should communicate effectively, think analytically, work independently, and have a growth mindset while collaborating with cross-functional partners.

The team delivers analyses and models to forecast performance, uncover opportunities, and support executives and other decision makers.

Qualifications

  • 5+ years of professional industry experience doing quantitative analysis.
  • BS in a quantitative field; MS/PhD is a strong plus.
  • Advanced proficiency in SQL and Python/R/Scala.
  • Strong foundation in statistics, experimentation, causal inference, ML.
  • Proven ability to communicate complex analytical findings to influence stakeholders and strategic decision making.

Responsibilities

  • Partner with Slack Growth teams to understand the drivers of our business and accelerate growth
  • Synthesize insights into crisp narratives and present to senior leadership
  • Develop frameworks for identifying patterns/trends in customer behavior
  • Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics
  • Work with our Data Engineering teams to build core data models that power operational and exploratory data analyses

Skills

Quantitative analysis
SQL
Python/R/Scala
Statistics/ML
Stakeholder communication

Education

BS in quantitative field
MS/PhD a strong plus

Tools

AI tools

Job description

Salesforce is seeking a Staff Data Scientist for the Business Data Science team to drive growth and decision making across the Slack Business Unit. The candidate should communicate effectively, think analytically, work independently, and have a growth mindset while collaborating with cross-functional partners.

The team delivers analyses and models to forecast performance, uncover opportunities, and support executives and other decision makers.

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