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.
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.
