86K–176K USD / year
Data Scientist, Enterprise Analytics
DataRemote — United States
Published on 2026-10-30
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About this role
GitLab is seeking a Data Scientist to help Sales, Revenue Operations, and Finance measure go-to-market performance and identify growth opportunities. The role combines business analytics, experimentation, machine learning, and production data science to inform company reporting and strategic decisions.
About the company
GitLab is a DevSecOps platform that brings source control, CI/CD, security, and project management into a single application. It helps engineering teams plan, build, secure, and ship software faster.
The team
Enterprise Analytics
Stack
PythonSQLSnowflakepandasNumPyscikit-learnJupyterLightGBM
What you'll do
- Partner with GTM teams to generate insights and support strategic decisions.
- Analyze behavioral trends and business performance drivers, communicating findings to non-technical audiences.
- Build, productionize, and monitor machine learning models, including propensity, PQL scoring, churn, and expansion models.
- Design and evaluate A/B tests and quasi-experiments for onboarding, pricing, packaging, and upgrade flows.
- Develop agentic workflows for analysis, modeling, and pipeline automation, with evaluation and monitoring.
- Contribute to the Semantic Layer and enable trusted self-service metrics.
- Write and review production-grade Python and SQL.
What we're looking for
- 3–5 years of experience in GTM analytics, data science, or a similar technical role.
- Translate ambiguous business problems into measurable questions and explain technical concepts to non-technical stakeholders.
- Experience with experimentation, causal inference, statistical methods, and machine learning.
- Strong SQL and cloud data warehouse experience, including product usage and event data.
- Hands-on Python experience for statistical modeling, machine learning, and production data science.
- Experience building and evaluating agentic workflows using AI coding agents.
- Experience with B2C business motions and metrics, including consumption, CRR, ARR, churn, and contraction.
- Self-managing, organized, and comfortable working in a fully remote organization.
Benefits
- Flexible paid time off
- Equity compensation and employee stock purchase plan
- Parental leave
- Growth and development fund
- Health, financial, and well-being benefits
- Team member resource groups