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. Job Responsibilities: Organize disparate facts and findings into narratives that inform product strategy 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 Define and drive alignment around success metrics for foundation areas and provide data informed target setting Apply various data science methods to understand the most meaningful aspects of our product, users, and business Qualification & Experience: Expertise in designing and deep-diving experiments to guide product launch decisions Experience in building advanced data pipelines and designing data scheme and table infrastructure An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc) Strong written and verbal communication skills 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) Experience working in fast changing tech development environment 3+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry Experience using statistical and machine learning methods to build descriptive and predictive models Job Details: Company: Slack Vacancy Type: Full Time Job Location: Denver, CO, US Application Deadline: N/A Apply Here careersvite.com
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