Senior Data Scientist (Commodity Markets) m/f/d

Das ist der Job

Develop, test, and roll out new application functionality and change requests following product owner prioritization.

Darum lohnt es sich

Enable efficient communication across teams through fast prototyping and demos of potential solutions. Benefits A highly stable job environment as part of a company with 30,000 employees. A vibrant working environment in a dynamic, inclusive, ambitious and committed team that drives Data Science forward and keeps a start‑up like atmosphere.

Job Purpose We are looking for an experienced Quantitative Analyst / Data Scientist in energy markets to drive data‑based innovation and operationally deploy and maintain data science models and model interfaces in the energy and chemical industries.

Key Accountabilities / Responsibilities Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models.

Drive and support R&D and operation of data‑driven analytical market models: co‑develop strong quantitative market models to predict key market variables, guide and support others in model development, implement new models and enhancements such as driving cloud‑based model and process automation.

Engage with internal market experts to explain models and insights, translate domain knowledge back into models, and build a deep understanding of operations and decision making in markets. Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures.

Manage operational models & applications (monitoring, refactoring, update of live services). Review and debug code and ensure good code documentation. Expand your knowledge by learning new techniques and applying them to existing and new analytical problems in our markets. Actively share knowledge and innovation areas with peers.

Key Skills / Experience Required Minimum of 3 to 5 years of practical experience as a software engineer, preferably in the context of markets and market prices. Excellent Python skills and experience with Python packages for applications (such as Dash). Professional use of version control tools in projects involving several developers.

Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g., AWS). Data handling and data modeling knowledge and experience using relational databases (e.g., PostgreSQL).

Holistic perspective on business value from analytics and a strong ability to explain complex topics to diverse stakeholders at the appropriate level, strong communication and engagement.

Preferably previous exposure to Data Analytics or Data Science and an interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration. Flexibility, loyalty, empowerment, and trust as part of our corporate culture. Fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement.

Primary Location & Base Pay Range Germany – Karlsruhe €59,300 – €98,600.

Equal Employment Opportunity We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national‑origin, disability status, protected veteran status, or any other characteristic protected by law.

We are committed to diversity and inclusion. #J-18808-Ljbffr