Staff Business Data Scientist - Slack

About the role

Salesforce is the #1 AI CRM, where humans with agents drive customer success together; ambition meets action, tech meets trust, and innovation is a way of life. Agentforce represents the future of AI, and you are the future of Salesforce. Slack is seeking a Staff Data Scientist to join its Business Data Science team, where you will leverage data to drive growth and success for the Slack Business Unit. The ideal candidate is an effective communicator with strong analytical thinking, able to work independently with minimal guidance, possesses a growth mindset, collaborates effectively, and biases toward action and impact. The team partners with Data Engineering, Business Strategy & Operations, Go‑To‑Market, and Product, Design, and Engineering (PDE) to identify growth opportunities, forecast performance, and deliver impactful analyses and models. Slack fosters a positive, diverse, and supportive culture, looking for curious, inventive individuals who strive to improve daily, valuing smart, humble, hardworking, and collaborative work.

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

Requirements

• 5+ years of professional industry experience doing quantitative analysis
• A related technical degree required. A BS degree in a quantitative field (e.g., Computer Science, Economics, Physics); an advanced degree (MS, PhD) is a strong plus.
• 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, ML, and analytical problem-solving.
• Proven ability to communicate complex analytical findings to influence stakeholders and strategic decision making.

Preferred Qualifications

• Designing, running, and analyzing growth focused experiments
• Applying analytics to uncover potential growth opportunities
• Successful collaboration with Marketing, Growth, Go-To-Market, and/or Lifecycle teams
• Experience using AI / agentic tools for analysis, and building reusable analytical tools

Benefits

• Time off programs
• Medical
• Dental
• Vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program

Pay

The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.