Director, Data Science

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $209.6k - $314.4k / year

⏰ Full Time

🔴 Lead

📊 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

• Lead GitLab's Product, Sales, and Finance Data Science teams and report to the VP of Data & Insights • Connect Data Science work to product innovation, product adoption, go-to-market motions, and consumption-business growth • Ensure Data Science work changes decisions at the executive level • Lead a team of 12 data scientists and analysts through managers • Build trusted relationships with executives across Product, Finance, and GTM • Own investment and prioritization across teams and make trade-offs visible to senior leaders • Lead high-impact, cross-functional programs from strategy through measurable business impact • Coach and mentor managers and senior ICs, building succession and future leadership capacity • Set organization-wide standards for metric definition, causal inference, predictive modeling, and AI • Build a high-trust culture of urgency, accountability, and open communication • Partner with Analytics Engineering, Data Engineering, and other data teams on a shared data and AI roadmap

🎯 Requirements

• 12+ years in data science, product analytics, or a related field, including 6+ years leading teams and 3+ years managing managers in B2B SaaS or tech • Track record of building and scaling a data science or analytics organization that executives treat as a strategic partner • Strong business acumen across product and go-to-market, with experience connecting data work to revenue and growth outcomes • Executive presence: communicates complex findings and trade-offs clearly to the C-suite, and coaches managers to do the same • Deep expertise in statistics, experimentation, and causal inference, with enough technical depth in SQL, Python, and ML to guide and pressure-test the team's work • Clear point of view on how AI is reshaping data science and analytics, and experience leading teams through that shift • Able to use GitLab, thrive in an all-remote, asynchronous company, model and coach GitLab's remote working competencies, and work in line with GitLab's values • Experience with developer tools, DevSecOps, or product-led growth products • Experience with usage-based or consumption pricing models • Experience merging or restructuring data science and analytics teams • Thought leadership in data science or analytics, internally and externally

🏖️ 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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