Staff Data Scientist


  • Location
    • San Francisco
  • Date Posted
  • 19 Mar 2020
  • Function
  • Data Science
  • Sector
  • Business Applications, Future Of Work

Slack is hiring an experienced data science leader for our Expansion product team. The Expansion team is a cross-functional team that builds foundational product experiences to help teams become successful on Slack. Our team focuses on the critical moments within the team’s lifecycle: creating and joining workspaces, in-product education, expanding the number of users on Slack, and purchasing & billing.

You will lead the exploration and understanding of Slack’s drivers of growth and adoption, using your extensive knowledge of various research methods. You will partner with other leaders on Expansion to find ways to improve the user experience and bring Slack to new audiences. As a domain expert, you will work to inform and influence decisions throughout Slack by crafting our understanding into narratives and partnering with key decision makers within the company.

As a data science leader, you will help to make Slack’s Research + Analytics team best-in-class by advocating for and implementing changes to process, tools, and systems. You will have a keen eye for opportunities to standardize, build new areas of competency within the team, and provide technical mentorship. You will be a strong partner to researchers with varying backgrounds, including design researchers, market researchers, and survey scientists.

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

  • Applying various data science methods to understanding the most important aspects of our product, users, and business.
  • Organizing disparate facts and findings into powerful narratives that have the broadest possible application within Slack.
  • Evangelizing evidence-based decision making by partnering with key decision makers (including senior directors and c-level executives), and driving general accessibility of data and insights.
  • Coordinate the execution of researchers and data scientists to methodically advance understanding of new domains.

Identify and drive improvements to the execution of the full Research + Analytics team through standardization of process, authoring new best practices, mentorship and cultivation of new expertise.

What you should have

8+ years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus.

A consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes. Experience as a technical lead or manager a plus.

  • Expert in at least one programming language for data analysis (e.g. Python, R).
  • Expert in designing and testing experiments.
  • Experience with broad set of statistical and machine learning methods to build descriptive and predictive models.
  • Experience in schema design and dimensional data modeling and building data pipelines.
  • Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Hadoop, Hive, Spark, Presto, S3, etc).
  • Experience designing, automating, and optimizing data work flows.