# Data Scientist, Enterprise Analytics

**Company**: GitLab
**Location**: Remote, United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $86,400-$176,400 USD
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/gitlab/jobs/8922013002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c1f8de44-2d1

## 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

## Skills

### Required
- Python
- SQL
- Machine Learning
- Data Analysis
- Experimentation
- Causal Inference

### Nice to have
- Agentic Workflows
- AI Coding Agents
- Cloud Data Warehouses
- Business Intelligence Tools

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gitlab/jobs/8922013002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)