Staff Business Data Scientist - Slack

Description

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Job Category

Data

Job Details

About Salesforce

Salesforce is the 1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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 will 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

What you should have:

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 Experience:

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

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.