Staff Data Scientist, Metrics Intelligence - Slack

Key Skills

Java Programming, Python Programming, Salesforce, SQL, KPIs

Job Description

Our Research & Analytics team is hiring a Staff Data Scientist to join our Metrics Intelligence working group! The Metrics Intelligence working group is focused on increasing the actionable insights gained from understanding and tracking key metrics.

In this role, you will implement scalable approaches to analyzing, tracking, alerting, and reporting on a broad set of strategically important product and business metrics. You will work with data scientists and business analysts (from various business groups) to understand, synthesize, and communicate evolving trends in product usage. You will work with senior leaders throughout the company to inform and influence decisions based on your understanding of metrics trends.

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

• Conducting regular investigations into trends in broad Slack usage
• Synthesizing and communicating key insights from regular investigations to a broad audience of stakeholders, including executive leadership
• Implementing scalable methods for tracking and generating insights from a large and evolving portfolio of product-based KPIs
• Applying various data science methods to understanding core aspects of our product, users, and business
• Promoting effective usage of metrics in the internal operations of Slack’s product team

What you should have

• 5+ years of professional industry experience doing quantitative analysis
• An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus
• A proven record of informing strategic business decisions, ideally in a product organization
• Experience analyzing, modeling, and forecasting trends in business metrics or other time series data
• Experience communicating findings from data analysis to an executive audience
• Experience with SQL and at least one general programming language (e.g. Python)
• An advanced understanding of statistics and analytical best practices