[Senior and Staff] Data Scientist, Virtual HQ - Slack

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We are hiring experienced data scientists for our Virtual HQ product team. This cross-functional team is building features within Slack to allow companies to be more productive while embracing a fully-remote or hybrid working model. This is the biggest opportunity to invent the future of work since we first launched Slack!

Our Virtual HQ team recently launched Huddles, a way to recreate quick, informal conversations that would have happened in the office in Slack. We are also building new video and audio-based messaging features that are seeking to replace formerly synchronous, in-person processes and meetings.

In this role, you will seek to understand how these features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Virtual HQ. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this new area.

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

• Apply various data science methods to understand the most meaningful aspects of our product, users, and business
• Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
• Organize disparate facts and findings into narratives that inform product strategy
• Define and drive alignment around success metrics for new product areas

What you should have

• 2+ 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 using data to drive product teams to achieve ambitious goals
• Expert in at least one programming language for data analysis (e.g. Python, R)
• Expert in designing and testing experiments
• Experience with statistical and machine learning methods to build descriptive and predictive models
• Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc)
• Experience working on video and audio-based products is a plus