Senior Data Scientist, Foundation - Slack

Key Skills

Java Programming, Python Programming, SQL, Apache Hadoop, Machine learning techniques, Data science techniques, Presto, Apache Hive, R Programming, SPARK Programming, Data pipelines, Data Analysis

Job Description

We are hiring an experienced Data Scientist for the Slack Foundation product area! This cross-functional team focuses on building core Slack features for end users and teams in order to enable more productive and efficient work and professional collaboration. Our foundation is at the core of our success and is the most essential component of the Slack user experience! We look forward to welcoming a full stack Data Scientist to join this fast growing team to contribute to our dream of enabling our customers to collaborate more efficiently and effectively in a friction free way.

In this role, you will seek to understand the core Slack features impacting and influencing the nature of collaboration within Slack. You will also help to establish the foundational analytics infrastructure for Slack Foundation and partner closely with PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this strategic area.

You will inform and influence decisions using data and research by crafting your findings into narratives and partnering with key decision makers within and across product pillars. You will have a unique opportunity to partner with world class researchers with varying backgrounds, including user researchers, market researchers, and survey scientists 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. 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
• Partner with data engineering org to design and enhance slack foundational data and metrics structure
• Organize disparate facts and findings into narratives that inform product strategy
• Define and drive alignment around success metrics for foundation areas and provide data informed target setting

What you should have

• 3+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry
• An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
• A proven record of using data to drive product teams to release new features and achieve ambitious goals
• Expertise in at least one programming language for data analysis (e.g. Python, R)
• Expertise in designing and deep-diving experiments to guide product launch decisions
• Experience using 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, Hadoop, etc)
• Experience in building advanced data pipelines and designing data scheme and table infrastructure
• Strong written and verbal communication skills
• Experience working in fast changing tech development environment
• Experience collaborating with and influencing cross functional partners