Slack is looking for a 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 a strong communicator, 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 decisions using data. We work closely with Data Engineering and Product Analysts, other Data Scientists at Slack and our partners in Product, Engineering, and the Slack Distribution teams to identify growth opportunities, craft narratives that deepen our understanding of the business, forecast future performance, and build predictive models to effect positive business outcomes.

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?

• Partner with Slack Growth teams to understand the drivers of our business and accelerate growth

• Develop both short-term and long-term forecasting models for Slack's self-serve business

• Conduct deep-dive analysis, synthesizing insights into crisp narratives for senior leadership

• Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models

• 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 and Product Analysts to build core data models that power operational metrics and exploratory data analyses

• 6+ years of professional industry experience doing quantitative analysis

• Proficient in SQL and at least one programming language for data analysis (eg Python, R)

• Experience with time series forecasting, as well as statistical and machine learning methods to build descriptive and predictive models

• A related technical degree required

Preferred Experience

• Partnering with Finance or business team for revenue forecasting

• Deep understanding of premium and/or self-serve business model

• Applying analytics to uncover potential growth opportunities

• Crafting narratives for executive audience

• Advanced degree in Economics, Physics, Statistics, Math, or other quantitative field (PhDs are a plus)