# Data Scientist, Enterprise Analytics at GitLab

- Company: GitLab
- What the company does: The intelligent orchestration platform for DevSecOps, enabling teams and agents to ship trusted software at enterprise scale. Backed by General Catalyst and Khosla.
- Company website: https://about.gitlab.com/
- Type: Startups
- Level: Mid level
- Location: Remote, Canada; Remote, United States
- Work setup: Remote
- Posted: 2026-10-30
- Apply by: 2026-12-14
- Apply: https://job-boards.greenhouse.io/gitlab/jobs/8922013002?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/gitlab-data-scientist-enterprise-analytics/

## About the role

As a Data Scientist at GitLab on the Enterprise Analytics team, you’ll be a trusted analytical partner to Sales, Revenue Operations, and Finance, helping define how we measure go-to-market performance and where we invest to grow. This is a strategic and hands-on role. You’ll apply statistical, experimentation, and machine learning methods to forecast outcomes, explain what drives activation, conversion, expansion, and retention, and size opportunities. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 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, and communicate their impact clearly to non-technical audiences
- Design, run, and evaluate growth experiments (A/B tests and quasi-experiments) on onboarding, pricing and packaging, and upgrade flows, and measure their impact on activation, conversion, and retention
- Build and operationalize agentic workflows for analysis, modeling, and pipeline automation, with evaluation and monitoring that keep agent-generated insights accurate, traceable, and trustworthy
- Contribute to GitLab’s Semantic Layer enabling stakeholders and agents to self-serve metrics using trusts and tested sources
- Write production-grade Python and SQL that meets internal standards for style, maintainability, and performance in a high-scale database environment, maintain and advocate for these standards through code review

Tags: Data

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/gitlab-data-scientist-enterprise-analytics/