Staff Data Scientist — Growth & Strategic Insights

Slack; Atlanta (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

Slack is seeking a Staff Data Scientist to join the Business Data Science team. You will leverage data to drive growth and inform strategic decisions across the Slack Business Unit, working with Data Engineering, Go-To-Market, PDE, and other partners.

The ideal candidate has 5+ years of quantitative analysis experience, a BS in a quantitative field, strong SQL and programming skills (Python/R/Scala), and a proven ability to communicate insights to executives.

Qualifications

• 5+ years of professional experience doing quantitative analysis.
• BS in Computer Science, Economics, Physics, or related quantitative field; MS/PhD is a strong plus.
• Proficiency in SQL and at least one data science language (Python, R, or Scala).
• Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving.
• 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

Effective communication

Analytical thinking

Growth mindset

Collaboration

Education

BS in quantitative field

MS/PhD a strong plus

Tools

SQL

Python

R

Scala

Job description

Slack is seeking a Staff Data Scientist to join the Business Data Science team. You will leverage data to drive growth and inform strategic decisions across the Slack Business Unit, working with Data Engineering, Go-To-Market, PDE, and other partners.

The ideal candidate has 5+ years of quantitative analysis experience, a BS in a quantitative field, strong SQL and programming skills (Python/R/Scala), and a proven ability to communicate insights to executives.