Remote opportunity at
GitLabData Scientist, Enterprise Analytics
GitLab operates an intelligent orchestration platform for DevSecOps, helping organizations boost developer efficiency, streamline operations, and minimize security risks. The company currently seeks a Data Scientist…
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About This Role
GitLab operates an intelligent orchestration platform for DevSecOps, helping organizations boost developer efficiency, streamline operations, and minimize security risks. The company currently seeks a Data Scientist for its Enterprise Analytics team. This is a remote, full-time position with a base salary ranging from USD 86,400 to 176,400 per year for residents of the United States. Sales positions may also qualify for incentive compensation targeted at up to 100 percent of…
Job Description
GitLab operates an intelligent orchestration platform for DevSecOps, helping organizations boost developer efficiency, streamline operations, and minimize security risks. The company currently seeks a Data Scientist for its Enterprise Analytics team.
This is a remote, full-time position with a base salary ranging from USD 86,400 to 176,400 per year for residents of the United States. Sales positions may also qualify for incentive compensation targeted at up to 100 percent of the base salary.
In this hands-on and strategic function, you will serve as a key analytical collaborator for Finance, Revenue Operations, and Sales. Your work will focus on shaping go-to-market performance measurements, forecasting results, explaining metrics such as consumption, annual recurring revenue, and first orders, and identifying growth opportunities.
Responsibilities
- Partner closely with business units to deliver insights and support strategic decision-making across go-to-market functions
- Conduct exploratory data analysis to identify behavioral trends, long-term patterns, and underlying performance drivers
- Build, test, validate, and productionize machine learning models including propensity, churn, expansion, and product-qualified lead scoring
- Design, execute, and analyze growth experiments such as A/B and quasi-experiments on pricing, onboarding, and upgrade flows
- Develop and operationalize agentic workflows for analysis, modeling, and automated pipelines with proper monitoring
- Contribute to the semantic layer to help stakeholders and agents self-serve metrics reliably
- Write and review production-grade SQL and Python code adhering to internal performance and style standards
Requirements
- Three to five years of professional background in data science, go-to-market analytics, or related technical disciplines
- Hands-on expertise with cloud data warehouse SQL environments and business intelligence tools
- Practical experience using Python for statistical modeling and machine learning libraries
- Experience building agentic workflows using AI coding tools and connecting them to appropriate platforms
- Familiarity with B2C metrics and motions including contraction, churn, annual recurring revenue, and consumption
- Ability to work effectively within a fully remote company environment
Core Skills
Benefits
- Flexible paid time off
- Team member resource groups
- Equity compensation and employee stock purchase plan
- Growth and development fund
- Parental leave
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, GitLab operates as a fully remote organization and this role is remote.
What is the salary range for this role?
The base salary range for United States residents is USD 86,400 to 176,400 per year, and sales roles may also be eligible for additional incentive pay.
How many years of experience are required?
The posting requires three to five years of professional experience in data science, go-to-market analytics, or a similar technical role.
Sample Interview Questions
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