Senior Data Scientist, Slack Connect - Slack ID-181
We are hiring an experienced data scientist for our Slack Connect product area. This cross-functional team focuses on building features to connect users and teams across organizations to enable productive and proficient cross-company collaboration. Slack Connect has been a huge success since its initial launch! A full stack Data Scientist is welcome to join this fast growing team to contribute to the dream of enabling our customers to collaborate efficiently and safely across organizations in a friction free way.
In this role, you will seek to understand how Slack Connect 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 Slack Connect. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this strategic area.
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You will also inform and influence decisions using data and research by crafting our 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 build slack connect data and metrics structure
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for slack connect 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
