Job opportunity
Enterprise Analytics Data Scientist
GitLab
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.
#J-18808-Ljbffr
Apply on source site 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.
#J-18808-Ljbffr