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 (Winnipeg)
🏢 GitLab
📍 Winnipeg