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

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

• Full-time
• Job Experience Level: Experienced Professionals
• People Management?: No
• Department: Data

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.

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!

Responsibilities:

• Develop and implement data solutions of significant business value by utilizing both advanced statistical or machine learning models and classical, pragmatic descriptive solutions.
• Collaborate with cross-functional teams to identify new opportunities for data-driven innovation.
• Take proactive responsibility for end-to-end implementation (brainstorming and idea generation, implementation, testing, deployment, maintenance).
• Drive continuous improvements and optimization of data science models and pipelines.
• Work on a modern cloud (AWS) stack and contribute to decisions on which technology to use.
• Communicate findings and advanced analytics concepts to stakeholders in a clear and effective manner.
• Work in an ego-free environment and be part of a motivated, fast-paced, and result-driven agile team.
• Stay up to date with the latest industry developments and technologies.

Minimum Requirements:

• University degree in a data science related field, e.g., computer science, mathematics, statistics, or natural sciences and relevant working experience.
• Data-driven mindset and good with numbers whilst being able to explain complex concepts in simple terms.
• Very good programming skills in Python.
• Confident in programming with modern data science and visualization libraries such as scikit-learn, pytorch, transformers, bayesian statistics, plotly, matplotlib, etc.
• Good knowledge of modern supervised and unsupervised machine learning algorithms and classical statistical models.
• Experience with cloud services (e.g., AWS), MLOps, and version control.
• Strong project management and organizational skills paired with excellent problem-solving skills and hands-on mentality.
• Strong commitment to teamwork and resilience in a creative and constantly changing environment.
• Eager to extend your knowledge on modern data science algorithms and technologies continuously.
• Familiarity with AWS landscape: SageMaker, Lambda, API Gateway, ECS is a plus.
• Interest in financial services and markets is a plus.

Benefits:

• Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers.
• Work with an international, diverse, inclusive, and ever-growing team.
• Enjoy an office in a great location in the middle of Munich or Berlin Mitte, or choose to work remotely within Germany (if eligible for the job).
• Be productive with the latest hardware and tools.
• Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget.
• Enjoy your free time with 30 paid vacation days and take the opportunity to work from abroad.
• Benefit from an attractive compensation package and from the company pension scheme.

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