Senior Data Scientist, Growth Analytics & Strategy

Slack; Seattle (WA); On-site; USD 173,000 - 260,000; Full time

Job summary

Slack is looking for a Staff Data Scientist to join our Business Data Science team. In this role you will leverage data to drive growth, forecast performance, and deliver impactful analyses and models while communicating clearly to senior leadership.

The ideal candidate has 5+ years of quantitative experience, a BS in a quantitative field (MS/PhD preferred), and advanced proficiency in SQL and Python, R, or Scala. Strong statistics, experimentation, and storytelling are essential.

Qualifications

• 5+ years of professional industry experience doing quantitative analysis.
• BS in a quantitative field required; MS/PhD preferred.
• Advanced proficiency in SQL and Python/R/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 Data Engineering to build core data models powering analyses.

Skills

Quantitative analysis

SQL

Python

R

Statistics

Communication

Education

BS in quantitative field

MS/PhD preferred

Job description

Slack is looking for a Staff Data Scientist to join our Business Data Science team. In this role you will leverage data to drive growth, forecast performance, and deliver impactful analyses and models while communicating clearly to senior leadership.

The ideal candidate has 5+ years of quantitative experience, a BS in a quantitative field (MS/PhD preferred), and advanced proficiency in SQL and Python, R, or Scala. Strong statistics, experimentation, and storytelling are essential.