As a Senior Data Scientist, you will lead the development and implementation of advanced data models and algorithms for our customer-specific solutions, and work closely with senior stakeholders to define project scope and goals.
Requirements
- Degree with a quantitative or economic background, for example in computer science, business informatics, business mathematics, or business administration.
- Deep understanding of advanced machine learning techniques and their applications in production, such as NLP, recommender systems, time series analysis, and computer vision.
- Extensive experience in data science & data management or the development of production systems.
- Good knowledge of Python, R, Rust, PySpark, or SQL.
- Fundamental experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
- Strong data visualization and storytelling skills.
- Familiarity with data governance and compliance.
- Fluent communication in German and English.
- Excellent leadership skills and ability to present technical concepts, bring strategic thinking and problem-solving skills, and manage multiple priorities simultaneously.
Benefits
- Regular and systematic external and internal training opportunities in the fields of data engineering, cloud architecture, and data science.
- Access to cross-industry projects (large and medium-sized companies from the financial, insurance, automotive, retail sectors, etc.).
- Leading industry collaborations in the fields of cloud, BI, and AutoML.
- Work in an open, flat environment, within a broad Reply network for knowledge exchange.
- Award-winning office space in the heart of Munich with access to the main route.
- Public transportation ticket with Deutschlandticket.
- Contribution to a fitness studio membership at a fitness studio of your choice or the use of Wellpass.
- Flexible work environment between customers, Reply office, and remote work.