Deine Aufgaben

• Lead the data team alongside the product owner, guiding data scientists, ML engineers, and analytics engineers, and actively contribute to various initiatives.
• Participate in developing and implementing data and ML models, focusing on finance-related products like financial risk, credit rating, and document extraction.
• Develop the team's hard and soft skills, ensuring motivation, growth, and well-being.
• You are responsible for the technical aspects of our products including code quality, system architecture and technical planning. You are a sparring partner for the team for architectural and conceptual discussions.
• Ensure the team's output aligns with the company's strategic objectives and key results.
• Constant learning and gathering business know-how on how the financial processes work and evolve over time.

Deine Fähigkeiten

• 5+ years of experience as a data scientist or ML engineer, with a relevant degree or equivalent experience.
• Proven experience leading cross-functional technical teams and familiarity with agile methodologies. Financial domain experience is a plus.
• Strong foundation in probability, statistics, mathematics, and ML techniques.
• Very good expertise in SQL, Python, and related libraries (e.g., pandas, scikit-learn, Pytorch, Tensor Flow).
• Initial experience with bringing models to production in a cloud-based environment using technologies like Kubernetes, Google Cloud Services, Airflow, and Kafka is advantageous. Experience with ETL, data modelling, data analysis and reporting using Big Query, Dataform, and Tableau is a plus.
• Strong problem-solving skills, technical understanding, and ability to handle complex scenarios independently or in a team.
• Fluent in English and German.
• Feeling comfortable with constant change is one of your strengths.
• You thrive and promote working in a transparent environment, where open feedback, assertive communication, diversity, collaboration, self awareness and self responsibility is highly valued.

Warum startest du bei uns?

Arbeitssprache

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