> Markdown version of [/jobs/ext/2705179-machine-learning-scientist](https://www.wearedevelopers.com/jobs/ext/2705179-machine-learning-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Scientist - **Company:** Fin's Machine Learning - **Location:** Berlin, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Artificial Neural Networks, Computer Programming, Machine Learning, Natural Language Processing, SQL Databases, Reinforcement Learning, Deep Learning, Matplotlib - **Published:** September 4, 2026 - **Apply:** https://job-boards.greenhouse.io/intercom/jobs/7372016 ## About the Role * Broad applied machine learning knowledge * 3-5 years applied ML experience * Practical stats knowledge (experiment design, dealing with confounding etc) * Intermediate programming skills * Strong communication skills, both within engineering teams and across disciplines. * Comfort with ambiguity * Typically have advanced education in ML or related field (e.g. MSc) * Scientific thinking skills Bonus skills & attributes * Track record shipping ML products * PhD or other experience in a research environment * Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering * Strong stats or math background * Visualization, data skills, SQL, matplotlib, etc. ## Description Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? * Identify areas where ML can create value for our customers * Identify the right ML framing of product problems * Working with teammates and Product and Design stakeholders * Conduct exploratory data analysis and research * Deeply understand the problem area * Research and identify the right algorithms and tools * Being pragmatic, but innovating right to the cutting-edge when needed * Perform offline evaluation to gather evidence an algorithm will work * Work with engineers to bring prototypes to production * Plan, measure & socialize learnings to inform iteration * Partner deeply with the rest of team, and others, to build excellent ML products ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)