Staff Data Scientist, Enterprise

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are looking for an experienced data scientist to support the enterprise product area at Slack. The enterprise ecosystem is a critical component of Slack’s strategy to become an even more convenient and powerful tool for collaboration for full spectrum of async and synchronous work. It provides our grid customers with rich and enhanced experience on our platform with targeted features and integrations.

In this role, you will work closely with the enterprise product organization to understand and improve the product experience of enterprise segment. As Slack builds out its next generation of enterprise experiences, you’ll work on unearthing insights that will help point to the direction of future enhancements. You will also help establish the foundational data infrastructure to enable success measurements. You will partner with researchers, designers, and engineers to uncover user experience gaps and opportunities.

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.

What you will be doing

• Apply various data science methods to understand usage patterns of grid customers
• Perform evidence-based evaluations of the most important drivers of increased adoption of the enterprise specific features
• Build out key success metrics and reporting for the enterprise product organization
• Prototype foundational data pipelines and partner with the data engineering org to elevate these into canonical sources of truth for enterprise metrics
• Identify and clearly communicate potential opportunities to improve the end user experience
• Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
• Organize disparate facts and analyses into a coherent narrative that evaluate the success of and influence product strategy

What you should have

• 5+ years of data science or engineering experience doing data science or quantitative analysis, with preferred experience in settings with multiple consumer user types, such as a marketplace or productivity or collaboration tools. 
• An advanced degree (MS, PhD) in a quantitative field (e.g. Stats, Maths, Computer Science, Economics, Physics, etc) a plus
• Expertise in at least one programming language for data programming (e.g. Python, R, Scala)
• Experience working with data technologies that allow analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Familiarity with Apache Airflow.
• Comfortable and skilled at written and verbal communication to varied audiences
• Experience collaborating with and influencing cross functional partners
• Experience in building advanced data pipelines and designing data scheme and table infrastructure
• A related technical degree required 
• Plus: Experience with statistical and machine learning methods to build non production models

For Colorado-based roles: Minimum annual salary of $150,200. You may also be offered a bonus, restricted stock units, and benefits.