
Opportunity at
GitLabDirector, Data Science
GitLab operates an intelligent orchestration platform for DevSecOps, helping organizations boost developer productivity, enhance operational efficiency, and lower security and compliance risks. The company is currently…
Career Tools
About This Role
GitLab operates an intelligent orchestration platform for DevSecOps, helping organizations boost developer productivity, enhance operational efficiency, and lower security and compliance risks. The company is currently hiring a full-time Director, Data Science to lead the Product, Sales, and Finance Data Science divisions under the Vice President of Data & Insights. This leadership position directs a 12-person organization comprising data scientists and analysts, guiding strategic investment, metric standardization, and predictive modeling…
Job Description
GitLab operates an intelligent orchestration platform for DevSecOps, helping organizations boost developer productivity, enhance operational efficiency, and lower security and compliance risks. The company is currently hiring a full-time Director, Data Science to lead the Product, Sales, and Finance Data Science divisions under the Vice President of Data & Insights.
This leadership position directs a 12-person organization comprising data scientists and analysts, guiding strategic investment, metric standardization, and predictive modeling initiatives. The successful candidate will collaborate closely with executive leadership across go-to-market, product, and finance functions to shape business questions, scale consumption businesses, and influence key decisions. Team members operate in an asynchronous environment utilizing GitLab's platform.
Compensation for United States residents ranges from $209,600 to $314,400 per year, determined through interviews, evaluations of skills and experience, market data, and geographic location.
Responsibilities
- Partner with executives across Finance, Product, and GTM to shape strategic business questions and guide investment priorities
- Lead high-impact cross-functional programs focused on consumption business growth and product adoption
- Mentor and coach senior individual contributors and managers to build a strong leadership pipeline
- Establish organization-wide standards for causal inference, predictive modeling, metric definitions, and AI integration
- Collaborate with Analytics Engineering and Data Engineering teams to align on shared data and artificial intelligence roadmaps
Requirements
- At least 12 years of total experience in product analytics, data science, or a related sector
- Minimum 6 years of experience leading teams, including at least 3 years managing managers within tech or B2B SaaS
- Expertise in statistics, experimentation, and causal inference
- Proficiency in SQL, Python, and machine learning to guide and evaluate team deliverables
- Strong communication skills with executive presence to present complex findings to the C-suite
Qualifications
- Experience working with product-led growth products, DevSecOps, or developer tools
- Background working with consumption-based or usage-based pricing models
- History of restructuring or merging analytics and data science teams
- Demonstrated thought leadership in analytics or data science
- Advanced degree in a quantitative academic discipline
Core Skills
Benefits
- Flexible paid time off
- Equity compensation and Employee Stock Purchase Plan
- Parental leave
- Growth and development fund
- Team Member Resource Groups
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Director, Data Science role?
For United States residents, the base salary range is $209,600 to $314,400 per year, which does not include bonuses, equity, or benefits.
What is the employment type for this position?
This is a full-time position.
Who will the Director, Data Science report to?
The role reports directly to the Vice President of Data & Insights.
What experience is required to apply?
Applicants must have 12+ years of experience in data science, product analytics, or a related field, including 6+ years leading teams and 3+ years managing managers in B2B SaaS or tech.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
