Description
GitLab is seeking a Data Scientist for its Enterprise Analytics team. As a Data Scientist, you will be a trusted analytical partner to Sales, Revenue Operations, and Finance, helping define how GitLab measures go-to-market performance and where it invests to grow.
Responsibilities:
- Embed yourself with business teams to become a trusted partner supporting insight generation and strategic decision making across GTM.
- Perform exploratory data analysis to uncover behavioral trends, long-term patterns, and the key drivers and levers behind business performance.
- Build and productionize machine learning models, including training, validation, testing, and feature engineering.
- Design, run, and evaluate growth experiments on onboarding, pricing and packaging, and upgrade flows.
- Build and operationalize agentic workflows for analysis, modeling, and pipeline automation.
- Contribute to GitLab’s Semantic Layer enabling stakeholders and agents to self-serve metrics.
- Write production-grade Python and SQL that meets internal standards.
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.
- Experience with experimentation and causal inference, statistical and machine learning methods.
- Deep understanding of SQL in cloud data warehouses and business intelligence tools.
- Experience using Python for statistical modeling, machine learning, and production data science.
- Hands-on experience building agentic workflows with AI coding agents.
- Experience working in a B2C company working with motions and metrics.
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.
Salary Range: $86,400-$176,400 USD