210K–314K USD / year
Director, Data Science
DataRemote — Canada, United States
Published on 2026-11-05
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About this role
Lead GitLab’s Product, Sales, and Finance Data Science teams, reporting to the VP of Data & Insights. Set the organization’s data science direction and standards while connecting analytical work to product adoption, revenue growth, and executive decisions.
About the company
GitLab is a DevSecOps platform that brings source control, CI/CD, security, and project management into a single application. It helps engineering teams plan, build, secure, and ship software faster.
The team
Product, Sales, and Finance Data Science teams; 12 data scientists and analysts, led through managers.
Stack
SQLPythonAImachine learning
What you'll do
- Build executive partnerships and shape strategic business questions.
- Set priorities and make data science investment trade-offs visible.
- Lead cross-functional programs that improve product adoption and consumption growth.
- Coach managers and senior individual contributors, and develop succession plans.
- Establish standards for metrics, causal inference, predictive modeling, and AI.
- Build a culture of accountability, urgency, and open communication.
- Coordinate with Analytics Engineering, Data Engineering, and other data teams.
What we're looking for
- 12+ years in data science, product analytics, or a related field.
- 6+ years leading teams, including 3+ years managing managers, in B2B SaaS or tech.
- Experience building and scaling a data science or analytics organization trusted by executives.
- Business acumen across product and go-to-market, with demonstrated revenue or growth impact.
- Strong executive communication and leadership coaching skills.
- Expertise in statistics, experimentation, and causal inference, with technical depth in SQL, Python, and machine learning.
- A clear perspective on AI’s impact on data science and experience guiding teams through that shift.
- Able to thrive in a remote, asynchronous workplace and work in line with GitLab’s values.
Nice to have
- Experience with developer tools, DevSecOps, or product-led growth.
- Experience with usage-based or consumption pricing models.
- Experience merging or restructuring data science and analytics teams.
- Data science or analytics thought leadership.
- Advanced degree in a quantitative field.
Benefits
- Flexible paid time off
- Equity compensation and employee stock purchase plan
- Parental leave
- Growth and development fund
- Health, financial, and well-being benefits
- Team Member Resource Groups
