Lead Data Scientist, Growth Marketing

Define and execute the analytical strategy for Slack’s global web presence to link web behavior with key business outcomes like customer acquisition and enterprise pipeline.

Lead the global experimentation framework involving advanced causal inference techniques to quantify true incremental impact in digital environments.

Mentor and guide data scientists and analysts, potentially leading teams and establishing standards for analytics rigour and governance.

8+ years experience in Data Science, Quantitative or Growth Analytics, preferably in B2B SaaS, enterprise tech, or large-scale digital platforms.

Expertise in causal inference methods including CUPED, quasi-experiments, and advanced statistical techniques.

Proficiency in SQL and Python or R for pathing analysis, propensity modeling, and machine learning.

Experience with web analytics stacks (GA4, Adobe Analytics, server-side tracking, GTM) and privacy-first, first-party data strategies.

Senior individual contributor comfortable influencing executive leadership and aligning analytics strategies with multi-year company growth goals.

Proven ability to translate complex experimentation data into strategic business impact and cross-functional actionable roadmaps.

Experience mentoring and potentially managing data science teams with a focus on methodological rigor and scalable analytic practices.