Enterprise Analytics Data Scientist

Use Python, SQL, and machine learning as a fully remote Data Scientist at GitLab, shaping go-to-market performance measurement and investment decisions.On GitLab’s Enterprise Analytics team, you will partner with Sales, Revenue Operations, and Finance. This strategic, hands-on role uses experimentation, statistical modeling, and exploratory analysis to explain activation, conversion, expansion, and retention. You will support executive reporting across consumption, ARR, and first orders.Key Responsibilities:
Partner with business teams on strategic go-to-market decisionsAnalyze behavioral trends and communicate performance drivers clearlyBuild and productionize propensity, churn, and expansion modelsDesign and evaluate A/B and quasi-experimentsWrite production-grade Python and SQL for scalable data environmentsRequirements:
Three to five years in analytics or data scienceExperience with experimentation, causal inference, and machine learningDeep SQL experience in cloud data warehousesPython expertise with pandas, NumPy, and scikit-learnAbility to communicate technical concepts to non-technical stakeholdersApply statistical, experimentation, Python, and SQL expertise to enterprise analytics supporting GitLab’s go-to-market growth decisions.
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