The Company Git Kraken is the developer experience (Dev Ex) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built‑in AI and powerful workflow orchestration, Git Kraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. Git Kraken’s seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile Dev Ex platform available across desktop, command line, IDE, web, and mobile environments. The Role At Git Kraken, our goal is to help developers and their teams focus, create, and collaborate while minimizing distractions, context switching, and wasted time. Our developer experience platform supports millions of developers across desktop, command line, IDE, browser, web, and mobile. We’re looking for a pragmatic, startup‑minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data, sometimes it will come from the business.



In both cases, you’ll be expected to determine what’s possible, identify the fastest credible path forward, and ship solutions that create measurable impact. This is a high‑ownership role for someone comfortable working across data, product, and engineering. You should be able to frame ambiguous problems, explore messy data, build models or heuristics, integrate with production systems, measure outcomes, and iterate quickly. We care about practical impact, traction, and speed of learning. We are not looking for someone who waits for perfect specs or over‑polishes a solution before proving it matters. What You’ll Do Identify high‑value opportunities from product, customer, and operational data Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping Build practical 80/20 solutions that create leverage quickly, then refine them based on traction Own end‑to‑end exe

📌 Applied data scientist (Madrid)
🏢 Gitkraken
📍 Madrid