(Senior) Data Scientist (m/f/x) onsite or remote in Germany

<h3>Company Description</h3><p>Scalable Capital is a leading digital investment platform in Europe that makes investing easy and affordable for everyone. Clients of the Scalable Broker can trade 8,000 stocks, 2,500 ETFs, and 3,500 funds and other exchange traded products to build their portfolios, earn interest on their cash balance and take secured loans. People can also have their investments professionally managed via the digital wealth management service. More than one million clients already use the services.</p><p>Scalable Capital was founded in 2014 and is active in Germany, Austria, France, Italy, the Netherlands, Spain, and the UK. The investment firm, which is supervised by BaFin and the Bundesbank, has more than 20 billion euros on its platform. In addition to its business for private clients, the company operates B2B solutions. Its long-standing partners include ING, Barclays Bank in the UK, the robo-advisor Oskar, and the Santander Group in Spain. Scalable Capital employs more than 500 people at its offices in Munich, Berlin, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they strive to empower everyone to become an investor.<br/> <br/> Visit our <a href="https://www.google.com/url?q=https://de.scalable.capital/blog&amp;sa=D&amp;source=calendar&amp;ust=1709974557945714&amp;usg=AOvVaw1-ii78nD4LIEkV3O9MEWhg">finance blog</a> or check out our Social Media channels to find out what our Expert Teams have to say.<br/> <br/> Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values <a href="https://www.google.com/url?q=https://de.scalable.capital/values-principles&amp;sa=D&amp;source=calendar&amp;ust=1709974557945714&amp;usg=AOvVaw1LP9L3MAFXhHG8Otw2-KHC">here</a> (English).</p><h3>Job Description</h3><p>As a Data Scientist at Scalable Capital you will contribute significantly to generating tremendous business value through modern machine learning technologies. You will identify and work on use cases together with stakeholders throughout the company, e.g., Marketing, Client Support or Compliance. If you are a professional in data science with business understanding and keen on working in the fast paced environment of a FinTech company, this position in our growing Data Department is for you! </p><p><u>Responsibilities</u>:</p><ul><li>Develop and implement data solutions of significant business value by utilising both advanced statistical or machine learning models and classical, pragmatic descriptive solutions</li><li>Collaborate with cross-functional teams from your tribe but also product, engineering, and marketing teams, to identify new opportunities for data-driven innovation</li><li>Collaborate with cross-functional teams including product, engineering, and marketing teams, to identify new opportunities for data-driven innovation</li><li>Take proactive responsibility for end-to-end implementation (brainstorming and idea generation, implementation, testing, deployment, maintenance)</li><li>Drive continuous improvements and optimization of data science models and pipelines</li><li>Work on a modern cloud (AWS) stack and contribute to decisions on which technology to use</li><li>Communicate findings and advanced analytics concepts to stakeholders in a clear and effective manner</li><li>Work in an ego-free environment and be part of a motivated, fast-paced, and result-driven agile team with highly ambitious and intelligent people in our growing data analytics department</li><li>Stay up to date with the latest industry developments and technologies</li></ul><p> </p><h3>Qualifications</h3><ul><li>University degree in a data science related field, e.g., computer science, mathematics, statistics, or natural sciences and relevant working experience</li><li>Data-driven mindset and good with numbers whilst being able to explain complex concepts in simple terms</li><li>Very good programming skills in Python</li><li>Confident in programming with modern data science and visualisation libraries such as scikit-learn, pytorch, transformers, bayesian statistics (eg., lightweight mmm or pymc3), plotly, matplotlib, …</li><li>Good knowledge of modern supervised and unsupervised machine learning algorithms (e.g., tree-base models, deep learning, natural language processing, recommender systems, XAI) but also classical statistical models like regression techniques</li><li>Experience with cloud services (e.g., AWS), MLOps, and version control</li><li>Strong project management and organisational skills paired with excellent problem solving skills and hands on mentality</li><li>Strong commitment to teamwork and resilience in a creative and constantly changing environment</li><li>Eager to extend your knowledge on modern data science algorithms and technologies continuously</li><li>Sense of humour</li><li>Familiarity with AWS landscape: SageMaker, Lambda, API Gateway, ECS is a plus</li><li>Experience with marke