Senior Data Scientist — Growth & Business Analytics

100 Salesforce, Inc.

San Francisco (CA)

On-site

USD 173,000 - 286,000

Full time

5 days ago
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Benefits offered by this job

Time off programs
Medical insurance
Dental insurance
Vision insurance
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 for the Slack Business Data Science team. You will drive growth insights by partnering with cross-functional teams and delivering impactful analyses that influence leadership decisions. Strong communication, statistical expertise, and hands-on modelling are essential.

The role collaborates with Data Engineering, Go-To-Market, and PDE to build scalable data models and self-serve analytics tools that empower stakeholders to act on data-driven insights.

Qualifications

  • 5+ years of professional industry experience doing quantitative analysis.
  • BS degree in a quantitative field; MS/PhD is a strong plus.

Responsibilities

  • Partner with Slack Growth teams to understand drivers of the business and accelerate growth.
  • Synthesize insights into narratives and present to senior leadership.
  • Develop frameworks for identifying patterns/trends in customer behavior.
  • Build self-service tools and reports to drive awareness of key metrics.
  • Collaborate with Data Engineering to power data analyses.

Skills

Quantitative analysis
SQL
Python/R/Scala
Statistics & experimentation
Communicating insights

Education

BS in quantitative field
MS/PhD in quantitative field

Tools

Python
R
Scala

Job description

Salesforce is seeking a Staff Data Scientist for the Slack Business Data Science team. You will drive growth insights by partnering with cross-functional teams and delivering impactful analyses that influence leadership decisions. Strong communication, statistical expertise, and hands-on modelling are essential.

The role collaborates with Data Engineering, Go-To-Market, and PDE to build scalable data models and self-serve analytics tools that empower stakeholders to act on data-driven insights.

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