Data Scientist

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 utilising both advanced statistical or machine learning models and classical, pragmatic descriptive solutions
• Collaborate with cross-functional teams from your tribe but also product, engineering, and marketing teams, to identify new opportunities for data-driven innovation
• Collaborate with cross-functional teams including product, engineering, and marketing 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 with highly ambitious and intelligent people in our growing data analytics department
• Stay up to date with the latest industry developments and technologies

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 visualisation libraries such as scikit-learn, pytorch, transformers, bayesian statistics (eg., lightweight mmm or pymc3), plotly, matplotlib, …
• 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
• Experience with cloud services (e.g., AWS), MLOps, and version control
• Strong project management and organisational 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
• Sense of humour
• Familiarity with AWS landscape: SageMaker, Lambda, API Gateway, ECS is a plus
• Experience with marketing mix modelling is a plus
• Interest in financial services and markets is a plus