Description
Slack is the work operating system that brings your people, apps, processes and data together with trusted generative and agentic AI, fueling productivity for every employee in every role. Millions of people work in Slack every day with global teams, partners and customers, sending over 700 million messages and automating processes with over 3 million workflows daily. As part of Salesforce, Slack is where Agentforce, an always-on digital workforce, works alongside your teams and amplifies the impact of sales, service, HR, IT and more. To learn more and get started with Slack, visit slack.com.
We are seeking a highly motivated and technical Staff Data Scientist, Web and Growth Marketing to architect the analytical strategy for Slack’s global web presence. This pivotal role will shift beyond top-of-funnel reporting to lead a deep-dive analytical roadmap focused on user web behavior and conversion optimization. Sitting within the Marketing function, this role is the technical heartbeat of our growth engine. You will move beyond traditional reporting to lead high-stakes experimentation and causal inference projects that optimize the user journey from initial web visit to active teams. You will partner with Product, Marketing and Engineering to translate complex behavioral data into a roadmap that scales our global reach and maximizes incremental conversion.
Key Responsibilities:
Experimentation Leadership:
Web Experimentation Ownership: Design and execute a world-class experimentation roadmap, utilizing advanced statistical techniques (e.g., CUPED, Sequential Testing) to measure the true incremental lift of marketing web initiatives.
Statistical Rigor: Establish standards for experimental design, hypothesis testing, and power analysis to ensure data-driven decisions are statistically sound.
Web Analytics & Digital Strategy:
Platform Oversight: Act as the primary architect for the web analytics stack (e.g., Adobe Analytics, GA4), ensuring data integrity across all digital properties.
Tracking & Privacy: Lead the strategy for tag management (GTM/GA4) and server-side tracking to maintain data quality in a privacy-first environment.
CRO Partnership: Partner with Product and Growth Engineering to align web analytics with the product roadmap and Conversion Rate Optimization (CRO) goals.
Behavioral Segmentation: Use clustering (e.g., K-Means) to identify high-value user personas based on site behavior rather than just demographics.
Executive Communication & Stakeholder Management
Leadership Storytelling: Own the narrative and present key performance indicators (KPIs), campaign results, and strategic recommendations to Senior Leadership (VPs, SVPs) in a clear, concise, and persuasive manner, emphasizing global impact.
Candidate Requirements and Competencies:
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Experience & Technical Skills:
5+ years of experience in Marketing Analytics, Business Intelligence, or a highly quantitative field.
Proven track record of moving beyond correlation to establish causality in complex, multi-variable digital environments.
Deep expertise in SQL and Python/R, with a specific focus on session-stitching, path analysis, and building propensity models to identify high-value web behaviors.
Experience navigating the 'Privacy-First' web landscape, including working with first-party data and server-side tracking to maintain measurement integrity.
Deep hands-on experience with a major Data Visualization tool (e.g., Tableau, Power BI, Looker) and proven track record of translating complex web datasets into scalable, automated visualization layers that empower stakeholders to make rapid, data-driven growth and investment decisions..
Proven track record of building experimentation programs. Expert-level understanding of p-values, confidence intervals, and Bayesian vs. Frequentist approaches.
Statistical depth and expertise in Causal Inference, Power Analysis, variance reduction techniques (CUPED), interference/network effects, and Bayesian testing.