Data Scientist, Enterprise Analytics

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $86.4k - $176.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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. • Build and productionize machine learning models such as propensity, product-qualified lead (PQL) scoring, churn, and expansion models, including training, validation, testing, feature engineering, and MLOps practices. • Design, run, and evaluate growth experiments (A/B tests and quasi-experiments) on onboarding, pricing and packaging, and upgrade flows, measuring impact on activation, conversion, and retention. • Build and operationalize agentic workflows for analysis, modeling, and pipeline automation, with evaluation and monitoring for accurate, traceable, and trustworthy insights. • Contribute to GitLab’s Semantic Layer, enabling stakeholders and agents to self-serve metrics using trusted and tested sources. • Write production-grade Python and SQL and maintain coding standards through code review. • Support company-level reporting and GTM performance views covering consumption, ARR, and first orders.

🎯 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 communicate technical concepts effectively to non-technical stakeholders. • Experience with experimentation and causal inference (A/B testing, power analysis, quasi-experimental methods) and with statistical and machine learning methods such as regression, classification, clustering, and survival analysis • Deep, hands-on understanding of SQL in cloud data warehouses (like Snowflake SQL), including working with product usage and event data, and in business intelligence tools (Looker, Tableau, Hex, or similar) • Experience using Python for statistical modeling, machine learning, and production data science, with hands-on experience in pandas, NumPy, scikit-learn, Jupyter, and related libraries such as LightGBM and XGBoost • Hands-on experience building agentic workflows with AI coding agents (e.g., Claude Code, OpenCode, or similar), including connecting agents to the right context, tools, and platforms such as MLflow, and evaluating their output for accuracy and reliability. • Experience working in a B2C company working with motions and metrics, including Consumption, CRR, ARR, and Churn & Contraction • Self-motivated and self-managing, with strong organizational skills • Ability to use GitLab and to thrive in a fully remote organization

🏖️ 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

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