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

Description:

• As a Data Scientist at Scalable Capital, you will contribute significantly to generating business value through modern machine learning technologies.
• You will identify and work on use cases together with stakeholders throughout the company, including Marketing, Client Support, and Compliance.
• Your responsibilities will include developing and implementing data solutions of significant business value using advanced statistical or machine learning models and classical descriptive solutions.
• You will collaborate with cross-functional teams, including product, engineering, and marketing, to identify new opportunities for data-driven innovation.
• You will take proactive responsibility for end-to-end implementation, including brainstorming, idea generation, implementation, testing, deployment, and maintenance.
• You will drive continuous improvements and optimization of data science models and pipelines.
• You will work on a modern cloud (AWS) stack and contribute to decisions on technology usage.
• You will communicate findings and advanced analytics concepts to stakeholders clearly and effectively.
• You will work in an ego-free environment as part of a motivated, fast-paced, and result-driven agile team.
• You will stay up to date with the latest industry developments and technologies.

Requirements:

• A university degree in a data science-related field, such as computer science, mathematics, statistics, or natural sciences, along with relevant working experience is required.
• A data-driven mindset and proficiency with numbers, with the ability to explain complex concepts in simple terms, are essential.
• Very good programming skills in Python are required.
• You must be confident in programming with modern data science and visualization libraries such as scikit-learn, pytorch, transformers, and bayesian statistics.
• Good knowledge of modern supervised and unsupervised machine learning algorithms, as well as classical statistical models, is necessary.
• Experience with cloud services (e.g., AWS), MLOps, and version control is required.
• Strong project management and organizational skills, along with excellent problem-solving skills and a hands-on mentality, are essential.
• A strong commitment to teamwork and resilience in a creative and constantly changing environment is necessary.
• You should be eager to continuously extend your knowledge of modern data science algorithms and technologies.
• A sense of humour is appreciated.
• Familiarity with the AWS landscape, including SageMaker, Lambda, API Gateway, and ECS, is a plus.
• Experience with marketing mix modelling and an interest in financial services and markets are also advantageous.

Benefits:

• You will be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that significantly impact customers' lives.
• You will work with an international, diverse, inclusive, and ever-growing team dedicated to creating the best products for clients.
• You will enjoy an office in a prime location in Munich or Berlin Mitte, or you can choose to work remotely within Germany if eligible.
• You will be productive with the latest hardware and tools.
• You will have opportunities for learning and growth through in-house knowledge sharing sessions and an individual Education Budget.
• You can learn and experience German culture firsthand by joining free German language classes.
• International relocation support is available.
• You will have 30 paid vacation days and the opportunity to work from abroad.
• You will benefit from an attractive compensation package and a company pension scheme.
• A monthly contribution of 25% for the ‘Deutschland Jobticket’ is provided.
• You will receive a complimentary subscription to Scalable Capital's PRIME+ Broker, eliminating order commissions.