
Lead Data Scientist, Growth Marketing
Salesforce · Posted Sep 18
Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions
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About the role
Slack is the work operating system that brings people, apps, processes and data together with trusted generative and agentic AI. We are seeking a visionary Lead Data Scientist, Growth Marketing to define the analytical strategy and drive the quantitative engine for Slack’s global web presence. In this senior-most individual contributor role, you will bridge deep technical data science with high-level business strategy, connecting web behavioral insights directly to business impact such as customer acquisition, enterprise pipeline generation, and lifetime value.
What you will do
- Macro Connection: Connect top- and mid-funnel web behavior directly to core business outcomes, enterprise ARR, pipeline velocity, and customer lifetime value (LTV).
- Strategic Roadmap: Partner with executive leadership (VPs, SVPs) across Marketing, Product, and Growth Engineering to align web analytics and experimentation strategies with multi-year company growth targets.
- Opportunity Prioritization: Identify macro trends, unaddressed user segments, and high-leverage growth opportunities through deep quantitative research and exploratory data analysis.
- Global Framework Ownership: Lead and evolve Slack’s web experimentation strategy, setting institutional standards for statistical rigor, hypothesis formulation, power analysis, and sample size estimation.
- Methodological Depth: Deploy advanced statistical techniques, such as variance reduction (CUPED), sequential testing, synthetic controls, and quasi-experimental designs to measure true incremental lift in complex digital environments.
- Experimentation Culture: Drive best practices across product and growth teams to eliminate bias, manage interference/network effects, and scale experiment volume without compromising data integrity.
- Analytics & Privacy Stack: Serve as the principal architect for the digital measurement ecosystem (e.g., GA4, Adobe Analytics, server-side tracking, GTM) in a privacy-first, first-party data landscape.
- Predictive & Behavioral Modeling: Build and operationalize session-stitching, multi-touch pathing analysis, propensity modeling, and advanced behavioral clustering (e.g., K-Means) to profile visitors into targetable segments.
- Scalable Data Ecosystem: Collaborate with Data Engineering to design robust web data pipelines and automated reporting layers that support self-service insights for growth teams.
- Technical Mentorship: Act as a force multiplier by coaching, mentoring, and guiding data analysts and junior/mid-level data scientists on statistical methodology, SQL/Python code quality, and strategic thinking.
- Team & Pod Leadership: Demonstrate the aptitude and leadership (formal or informal) to lead project pods, manage sprint priorities, or transition into team management as the analytics organization expands.
- Rigor & Governance: Establish peer review standards for analytical models, code repositories, and experimental documentation across the growth analytics team.
- Leadership Storytelling: Synthesize complex statistical findings into clear, impactful executive narratives for VPs, SVPs, and C-suite leaders, framing analytics around strategic ROI and business trade-offs.
- Cross-Functional Alignment: Translate quantitative insights into actionable product and marketing roadmaps that align cross-functional stakeholders around high-impact growth initiatives.
Skills used in this role
What the employer is looking for
- 8+ years of experience in Data Science, Quantitative Analytics, or Growth Analytics, ideally within high-growth B2B SaaS, enterprise tech, or large-scale digital platforms.
- Expert Causal Inference & Statistics: Deep expertise in p-values, confidence intervals, Bayesian vs. Frequentist approaches, CUPED, quasi-experiments, and causal inference frameworks.
- Advanced Coding & Data Science Tools: Fluent in SQL and Python or R for pathing analysis, propensity modeling, and machine learning/clustering techniques.
- Web Stack & Privacy: Proven experience navigating server-side tracking, tag management (GTM/GA4), and first-party data strategies in privacy-restricted environments.
- Visualization & Reporting Architecture: Experience building automated, executive-ready dashboarding systems (e.g., Tableau, Looker).
- Leadership & Mentorship Track Record: Demonstrated experience guiding, mentoring, or managing data analysts and data scientists. Prior team management experience or clear potential/desire to manage quantitative teams.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Salesforce
Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.
- Industry
- Cloud Computing
- Company size
- 87000+ employees
- Founded
- 1999
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25B raised
- 2026-03Post-IPO Debt$25B
- 2003-01Venture Round$1M
- 2001-06Series D$46.9M
- 1999-11Series C$13.2M
- 1999-06Series B$3.8M
Leadership
Chair, Chief Executive Officer & Co-Founder
President & Chief Operating and Financial Officer
Co-Founder & Chief Technology Officer, Slack
President & Chief Strategy Officer
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