Data Scientist, Enterprise Analytics

📋 Description

• Embed yourself with business teams to become a trusted partner supporting insight generation and
• Perform exploratory data analysis to uncover behavioral trends, long-term patterns, and the key
• Build and productionize machine learning models - such as propensity, product-qualified lead (PQL)
• Design, run, and evaluate growth experiments (A/B tests and quasi-experiments) on onboarding
• Build and operationalize agentic workflows for analysis, modeling, and pipeline automation, with
• Contribute to GitLab's Semantic Layer enabling stakeholders and agents to self-serve metrics using

🎯 Requirements

• 3-5 years of professional experience in GTM analytics, data science, or a similar technical role
• Demonstrated ability to translate ambiguous business problems into clear, measurable questions and
• Experience with experimentation and causal inference (A/B testing, power analysis
• Deep, hands-on understanding of SQL in cloud data warehouses (like Snowflake SQL), including
• Experience using Python for statistical modeling, machine learning, and production data science.
• Hands-on experience building agentic workflows with AI coding agents (e.g., Claude Code, OpenCode

🎁 Benefits

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave