Staff Business Data Scientist - Slack

About the role

The Experience

Slack is looking for a Staff Data Scientist to join our Business Data Science team. In this role, you will be responsible for leveraging data to help drive the growth and success of the Slack Business Unit. The ideal candidate is an effective communicator, has strong analytical thinking, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action and impact.

The Business Data Science team is focused on helping executives and other key decision makers across the company make better business decisions using data. We partner closely with Data Engineering, Business Strategy & Operations, Go-To-Market, and Product, Design, and Engineering (PDE) teams to identify growth opportunities, forecast performance, and deliver impactful analyses and models.

Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?

What You'll Actually Be Doing

• 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

You're Our Person If...

• 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.

Even Better If...

• 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

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

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.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.