Use statistical modeling and machine learning as a fully remote Data Scientist at GitLab, supporting go-to-market performance and executive reporting.
On GitLab’s Enterprise Analytics team, you will partner with Sales, Revenue Operations, and Finance. You will translate ambiguous business questions into measurable analysis, forecasting, experiments, and models. Your work will explain activation, conversion, expansion, retention, consumption, ARR, and first orders.
Key Responsibilities:
- Partner with GTM teams on strategic analytical decisions
- Analyze behavioral trends and communicate business drivers clearly
- Productionize propensity, PQL, churn, and expansion models
- Design experiments measuring activation, conversion, and retention
- Write maintainable Python and SQL for scalable production analytics
Requirements:
- Three to five years in GTM analytics or data science
- Experience with experimentation, causal inference, and statistical methods
- Hands-on SQL, Python, pandas, NumPy, and scikit-learn experience
- Experience with cloud warehouses and business intelligence tools
- Ability to communicate technical concepts to non-technical stakeholders
Bring experimentation, machine learning, and production Python and SQL skills to GitLab’s enterprise analytics work remotely.
📌 Enterprise Analytics Data Scientist (Canada)
🏢 GitLab
📍 Canada