Senior Data Scientist - Salesforce

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About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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.