Senior Data Scientist

N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. We are headquartered in Berlin with offices in multiple cities across Europe, including New York, as we are rapidly expanding globally. We are looking for a Senior Data Scientist to join our growing team. As a Senior Data Scientist at N26, you will be responsible for developing and implementing data-driven solutions to solve complex business problems. You will work closely with cross-functional teams, including product, engineering, and business stakeholders, to identify opportunities for data analysis and build predictive models, recommendation systems, and other data-driven applications. What you will do: * Develop and implement machine learning models, algorithms, and statistical analyses to solve business problems. * Collaborate with cross-functional teams to identify and define data-driven solutions. * Build and maintain data pipelines and infrastructure to support data analysis and model deployment. * Conduct exploratory data analysis and data visualization to communicate insights and findings. * Stay up-to-date with the latest advances in data science and machine learning. * Mentor junior data scientists and contribute to the team's knowledge sharing. * Work on fraud detection, credit risk assessment, customer segmentation, personalization, and other related areas. What you need to be successful: * Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related field. * 5+ years of experience in data science or a related field. * Strong programming skills in Python or R. * Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch. * Experience with data manipulation and analysis using tools like SQL, Spark, or Hadoop. * Experience with data visualization tools such as Tableau or Power BI. * Excellent communication and collaboration skills. * Ability to work independently and as part of a team. * Experience in the FinTech industry is a plus. What we offer: * Accelerate your career growth by joining one of Europe’s most disruptive and innovative FinTech companies. * Personal development budget. * Attractive compensation. * 26 vacation days a year. * Subsidized Urban Sports Club membership. * Find a workplace where you can grow with the company, take on new challenges and shape the future of banking. * A modern working environment with flexible working hours and the option to work from home. * Attractive perks and benefits such as: * Additional health insurance. * Employee discounts. * Free drinks and snacks in the office.