Enterprise Analytics Data Scientist at GitLab

Confirmed open

Use Python, SQL, experiments and machine learning to analyze GitLab go-to-market performance and forecast conversion, expansion and retention. The posting is remote in the United States.

GitLab

Search jobs by company: GitLab

Location: Remote
Work arrangement: remote
Technologies: Python, SQL

See how to apply

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

By continuing, you agree to processing needed to manage your account and profile. Privacy policy

Role overview

GitLab seeks a data scientist to support Sales, Revenue Operations and Finance with trusted analytics and production models for business decisions.

Responsibilities

Build and deploy propensity, lead-scoring, churn and expansion models with validation and monitoring.
Design A/B and quasi-experiments for onboarding, pricing and upgrades; measure activation and retention.
Write production Python and SQL, contribute to shared metrics and build evaluated agent workflows for analysis.

Qualifications

Three to five years in data science or go-to-market analytics.
Statistics, causal inference, machine learning, cloud-warehouse SQL and Python.
Ability to translate business questions into measurable analysis and communicate with nontechnical teams.

Technology in this role

Python: Write production Python and SQL, contribute to shared metrics and build evaluated agent workflows for analysis.
SQL: Statistics, causal inference, machine learning, cloud-warehouse SQL and Python.

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-11-02

Browse job categories

Python