Slack is seeking a Staff Data Scientist to join the Business Data Science team, focusing on leveraging data to drive growth and success within the Slack Business Unit. The ideal candidate will possess strong analytical skills and the ability to communicate complex findings effectively. This role emphasizes collaboration with various teams, including Data Engineering and Business Strategy, to identify growth opportunities and deliver impactful analyses. The team values curiosity, inventiveness, and a commitment to continuous improvement.

• 5+ years of professional industry experience doing quantitative analysis
• A related technical degree required, preferably a BS in a quantitative field such as Computer Science, Economics, or Physics
• Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala
• Strong foundation in statistics, experimentation, causal inference, machine learning, and analytical problem-solving
• Proven ability to communicate complex analytical findings to influence stakeholders and strategic decision making

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

• Employees at Slack, as part of Salesforce, are often offered comprehensive benefits focused on wellbeing and inclusion, including competitive health-care coverage, time off to rest, recharge and volunteer, and holistic programs that support mental health, family planning and overall work–life balance.